thought leadership

How to Scale Innovation Capability

I've been having lots of conversations with leaders about scaling innovation capability. [Note: These days, innovation in many executives’ minds translates to: “How does AI fundamentally change how we create and capture value?”]

If you ask five leaders what “scaling innovation capability” inside the organization means to them, you might get five different answers, ranging from enabling team members with digital tools (aka AI), nurturing employee-led initiatives, or training people in design thinking. So, the first question when I work with leadership teams is to explore the seemingly innocuous one: “What does ‘scaling innovation capability’ mean and look like to you?” That way, we can surface different points of view and work toward alignment before jumping to execution.

For this article, I was curious to learn what research has to say about which levers have been proven to result in successfully scaled innovation capability. Here is what I found:

First, it’s no surprise that my seemingly simple question to leaders yields widely different responses because academia also offers a plethora of explanations. Researchers Antonio Moreira, Eurico Navaia, and Claudia Ribau concluded in their 2024 systematic literature review that “innovation capability remains a loose concept. Consequently, the dimensions used to assess ICs and their associated metrics are very plural, with consequences for what is truly meant and measured by ICs.” They go on to identify four models for how innovation capability can be defined. The one focused on organizational capability consists of the following dimensions (with no conclusive metrics offered to measure success):

  • Participatory leadership culture

  • Ideation and organization structures

  • Work climate and well-being

  • Development of know-how

  • Regeneration

  • External knowledge

  • Communication

Ok…

So, let’s look at how some companies have experimented with these levers in building innovation capability:

Participatory Leadership Culture

As part of their innovation transformation, pharma company Bayer streamlined their teams to run like start-ups by radically simplifying their management structure and enabling them to run with their ideas. They also re-defined the role of leaders into what Bayer calls VACCs: visionaries, architects, catalysts, and coaches, who enable rather than control employees.

Ideation and Organization Structure

Nestlé USA encourages their employees to imagine by asking “What if…?” Their New Business Ventures team partners with teams across the business to encourage What if... projects, lending their expertise on early-stage industry trends to test new products and business models that appeal to the evolving tastes of consumers. The company has already seen this approach helping them to reach consumers in new ways. They also launched Open Channel to give employees the resources to explore these ideas. Open Channel is a crowd-sourcing initiative that taps into our collective creativity – a platform that allows employees to submit big ideas or vote on ideas they like the most. To date, 9000 employees have submitted concepts, and the company has launched 23 innovative products.

Development of know-how

Multi-energy company Repsol realized 20 percent greater profit - specifically, €800 million in cash flow from operations—by launching 505 digital innovation initiatives and building shared resources that systematically helped over seventy-six percent of the initiatives scale their innovation and realize value from it. Rather than simply empowering initiative teams, Repsol executives designed a holistic approach coordinated across initiatives to scale innovations.

And here are some of my additional ideas based on how I’ve helped enable organizations to build innovation capabilities:

  • Embedding Design Thinking Mindsets & Competencies. Identifying organizational mindsets and individual competencies are a first step in building innovation capability.

  • Community-Based Learning & Peer Interaction. Communities of Practice (CoPs) drive behavior change and learning at scale.

  • Leadership Enablement & Coaching. Innovation capability building at scale must include leaders as role models.

  • HR.Hackathons & Experiential Learning. Intentionally designed experiences that drive innovative behavior change and accelerate cultural adoption.

  • Strategic Operating Models. Co-creating transformation roadmaps and governance structures are critical to scaling innovation reliably.

[Note: This article was originally published as part of the Design Thinking for HR LinkedIn Newsletter.]

ABOUT THE AUTHOR

Design Thinking for HR is a biweekly LinkedIn newsletter that aims to inspire HR professionals to experiment with the human-centered design framework. The newsletter is curated by Nicole Dessain, a talent management leader and founder of the human-centered transformation consultancy talent.imperative and the HR.Hackathon Alliance. Nicole is currently writing her first book about Design Thinking for HR. Join the Early Readers’ Community here.

Leading Human-Centric AI Transformation

AI Transformation is on everyone’s mind. But doing it effectively is another story (an MIT study recently found that 95% of AI pilots fail). So, I thought I’d structure today’s post around four of the questions I hear most from HR and business leaders these days and how I’d address them in a human-centric way. Here we go…

Question #1: How can HR overcome the perception gap of not being AI savvy?

The (perception) gap is real: According to recent research by Gartner, only 7% of CHROs are seen as AI-savvy by their CEO. And only 36% of CIOs would invite their CHROs as partners on the AI transformation journey. But Gartner also found that 71% of AI initiatives succeed if they are co-led across the C-Suite. If the future of work isn't about humans vs. machines, but about humans WITH machines, we need to include people who understand people, PEOPLE!

Here are a few of my initial thoughts for how we might start shifting perceptions:

Cultivate visible micro-learning habits: Instead of trying to “master AI,” HR leaders can build a daily/weekly practice of engaging with AI (e.g., prompt practice, tool exploration, reading research). Credibility comes when you roll up your sleeves. Even 20 minutes a day experimenting with AI in your own workflow builds insight into its friction points, blind spots, and real potential. When you share candidly about what worked and what didn’t, trust follows. Last month, I set myself a 30-day AI learning challenge and recently shared my favorite resources in a LinkedIn post. Feel free to use it as inspiration for building your own AI learning habit and for working out loud along the way.

Re-imagine your role: I do think the role of HR is shifting in the age of AI – for the better. And I think it’s an opportunity to change perceptions around what we do and how we co-create value for the organization and the humans inside. Here are a few roles we need to play:

Strategic Partner: You don’t “just do AI” – it needs to be an integral part of your strategy. HR leaders become strategic partners by facilitating peer dialogue around questions like: “How does AI help us achieve our strategic objectives?” “What business problems are we trying to solve with AI?” “How do we know an AI use case creates value?” “How might we re-imagine our business model with AI?” I love how Noa Perry-Reife, Chief People Officer at Neko Health, co-created guiding principles for AI. [Note: My article on co-creating strategy might also come in handy here]. Being a strategic partner also means assessing the level of AI competency among the executive team and addressing individual skills gaps and collective blind spots.

Critical Thinker: HR leaders must be bold, curious explorers and courageous thinkers who can help steer the company into the AI-future. Plug: Design thinking is a great way to hone your critical thinking skills. Asking better questions (of yourself, your team, and your peers) becomes your superpower. For starters, here are a couple of AI-related questions I would ask:

  • What are we still doing today that was built for the pre-AI era? What needs to be re-imagined entirely? What does that mean for how work gets done in the future?

  • How might we re-design entry-level roles/tasks that are or will be eliminated by AI? How do we need to re-think talent pipelining, career pathing, and succession planning accordingly?

If you are looking for more inspiration on how to hone your questioning habit, I highly recommend The Book of Beautiful Questions by Warren Berger.

Connector: AI touches every function, and effective implementation depends on collaboration. HR leaders are poised to orchestrate across silos and cultivate cross-functional partnerships to ensure AI adoption is not just a tech project but a people-centered change effort. I imagine this was part of the reason why biotech company Moderna late last year announced the creation of a new role, chief people and digital technology officer, promoting its human resources chief Tracey Franklin to the spot. Part of being a connector is translating between business needs, tech solutions and people's abilities. One way to do this is by facilitating cross-functional journey mapping to identify real customer pain points that AI can help solve.

Humanist: HR leaders need to be the ones centering humans in AI conversations. An example why this is critical is a trend sparked by some tech companies to become “AI-first” companies - (re-)organized around AI vs humans as their main source of labor. So far, early adopters of this philosophy like Duolingo and Klarna have partially or fully backpaddled due to human backlash and/or not being able to realize substantial business impact. They serve as cautionary tales. I wonder how HR was involved in these cases - at all, or only when it came to executing layoffs?

In addition to being employees’ advocate by getting involved early in the types of discussions outlined above, here are some other human-centric questions to ask yourself and your leadership team:

  • When we say all employees should “use AI” (like Shopify and Microsoft have recently done) – what does that really mean to us? How might we address the AI gender adoption gap and the “competency penalty” for women and older AI users?

  • What does it mean to be human at work in the age of AI? What are the implications of AI for meaningful work?

  • What is our ethical responsibility in the displacement of a (sizeable) portion of our workforce?

  • How might we partner with communities and governments to co-design support programs that address the psychological toll of sudden AI-driven unemployment?

Question #2: How do you effectively motivate employees to leverage AI to improve their work?

AI effectiveness has less to do with the tools and everything to do with the humans operating them. If you want AI to stick, treat it as an employee experience transformation: Clear the low-value tasks. Double down on the work that matters. Build with employees, not for them. Protect time to learn before expecting results. According to BCG, this approach can increase adoption rate fourfold.

Obviously I am biased, but I believe that AI adoption is one of those complex problems that’s poised to be addressed with a human-centered design approach due to its complex nature and co-creation potential.

Here are a few human-centered design tools that can get you started on this journey:

  • Human-centered leadership is critical when engaging employees in the AI journey – through genuine care, trust is built.

  • In a previous article I stipulated, that design thinking is change management 2.0. This is particularly true when bringing employees on the AI journey.

  • Managing a Design Project is a bit different than leading a traditional project. Design tools like the Empathy Interview can become powerful companions on your AI journey.

  • You can lead an HR.Hackathon to engage your employees in co-creation. This might be a challenge to hack: How might we leverage AI to improve our work while also documenting the wins?

Question #3: How can we proactively identify workforce skills needed when the AI evolution is rapid and ambiguous?

I previously shared a blueprint for how to map future skills – design thinking style which you might find helpful.

When it comes to specific skills, I believe that the power combo of a digital mindset and design thinking competencies are the engines of the AI evolution.

Digital mindset: In the book The Digital Mindset, authors Paul Leonardi and Tsedal Neeley define the concept as “the set of approaches we use to make sense of, and make use of, data and technology.” Good news for the rest of us: Based on their research, we don’t all have to become computer scientists to develop a digital mindset. The “30 percent rule” of mastery applies when it comes to areas ranging from human-machine collaboration to data and analytics. Sometimes, the term “AI literacy” is used as well. What does it mean? I find AI Literacy Architect Stella Lee’s “AI Literacy Framework” a helpful way to articulate the components of the concept.

Design thinking competencies: The World Economic Forum highlights the enduring importance of human traits that are central to design thinking and essential in an AI-driven world. Investing in these human attributes provides strategic advantages, such as fostering an adaptive, growth-minded workforce essential for thriving amid constant disruption.

I believe that when we up-skill employees in design thinking (incl. curiosity, critical thinking, and creativity), we turn them into better AI thinking partners. In my upcoming book, I will share a design thinking competency model and ways you can embed it inside your organization.

A human-centric way to cultivate these mindsets and competencies is to build an internal AI Community of Practice where employees get a change to hone their digital/design thinking mindsets and build general AI literacy in a safe space with peers.

Question #4: How do I bring my HR team along on this journey while also demonstrating to the organization how impactful an AI transformation can be?

I have a radical idea: Turning HR into an AI Lab can become a cornerstone of effective AI transformation. Here is how:

Build confidence and curiosity among the HR team: Create a 30-day “AI fluency challenge” for your HR team - short, collective exercises that demystify AI. Example: each person uses AI to solve one HR task (e.g., draft policy, summarize survey comments) and shares what they learned. Give each HR sub-function (Talent Acquisition, L&D, People Analytics, etc.) a chance to explore AI use cases directly tied to their daily work. Encourage experimentation over expertise. Make it clear that it’s okay for outputs to be messy at first - curiosity matters more than mastery.

Empower HR to be the first use case: Pilot AI adoption in HR processes before rolling out organization wide. Examples might include AI-augmented job descriptions and candidate outreach, Gen AI-based learning content creation, AI sentiment analysis of engagement data. Track time saved, quality improvements, and employee feedback so HR can show tangible results.

Amplify the story to the organization: Share real HR wins as mini-case studies. Example: “By using AI, our recruiters cut job description drafting time by 70%, freeing them up for candidate conversations.” Invite employees from other functions to participate in HR pilots, making them ambassadors for broader adoption. Proactively communicate how HR addresses bias, fairness, and data security. This strengthens HR’s credibility as the steward of responsible AI.

[Note: This article was originally published as part of the Design Thinking for HR LinkedIn Newsletter.]

ABOUT THE AUTHOR

Design Thinking for HR is a biweekly LinkedIn newsletter that aims to inspire HR professionals to experiment with the human-centered design framework. The newsletter is curated by Nicole Dessain, a talent management leader and founder of the human-centered transformation consultancy talent.imperative and the HR.Hackathon Alliance. Nicole is currently writing her first book about Design Thinking for HR. Join the Early Readers’ Community here.

Top Design Thinking Tool: Empathy Interview

There is one tool - the empathy interview - I seem to be getting many questions about lately and so I thought it to be the perfect time to write about it in today’s newsletter.

What is an empathy interview?

An empathy interview is a bit like sitting down with a friend and having a conversation to really understand what they're going through, except in our context, it's part of the design thinking discovery process. Imagine you're designing a new park. In an empathy interview, you wouldn't just ask people if they'd like a pond or a picnic area. You'd dig deeper, asking about their experiences at parks in the past, what they enjoyed, what problems they faced, and how they felt about those experiences. This helps you understand not just what they want, but why they want it, enabling you to design a park that they'll like and use.

When embracing a human-centered design approach in HR, our goal is to solve problems in a way that's focused on the people we're designing for. So, an empathy interview is a special kind of conversation where we talk to the people who might use the solution we're creating. The key here is to remain humble and to listen deeply. We're not just asking our employees for their opinions on a new program or service. Instead, we're trying to walk in their shoes (while being mindful of the fact that we can never fully comprehend another person’s lived experience). We want to understand their feelings, challenges, and needs. It's like being a detective of emotions and experiences, gathering clues that will help us design a solution that truly makes others’ work lives better.

Employees love being involved in these types of conversations. I often hear from participants that this was the first time they had been asked for their perspective and that it made them feel heard.

What does an empathy interview entail?

To prepare for an empathy interview, we first need to define what we hope to glean from it. When it comes to empathy interview question design, we distinguish between research questions (what we want to learn) and interview questions (the actual questions we want to ask interview partners to elicit stories that illustrate what we want to learn). The reason that we take that approach is because if we ask people our research questions, they will speculate about their behavior and resulting solutions which make them less reliable data points. Empathy interviews guided by story-based questions help us to uncover latent needs.

When do you use empathy interviews?

Empathy interviews are a versatile method which I apply to pretty much any employee experience context. I find these conversations especially impactful when helping key stakeholders to immerse themselves in empathy. For example, I have employed a simplified version of the method as pre-work for executive workshops on how to re-imagine their post-pandemic work strategy. The empathy interviews provided leaders with insights they needed to make human-centered decisions, and the employees felt valued because the executive team cared about their input.

[Note: This article was originally published as part of the Design Thinking for HR LinkedIn Newsletter.]

ABOUT THE AUTHOR

Design Thinking for HR is a biweekly LinkedIn newsletter that aims to inspire HR professionals to experiment with the human-centered design framework. The newsletter is curated by Nicole Dessain, a talent management leader and founder of the human-centered transformation consultancy talent.imperative and the HR.Hackathon Alliance. Nicole is currently writing her first book about Design Thinking for HR. Join the Early Readers’ Community here.

Re-Imagining Development for Tomorrow’s Leaders

As organizations are reshaping their strategies to tackle evolving challenges, the development of leaders and managers has emerged as a top priority for 2024 and beyond. The traditional scope of managerial responsibilities is expanding, creating a critical need for new strategies in leadership development. In today’s article I explore how design thinking might aid in building more effective leadership programs.

The Evolving Role of Leadership

I’ve previously written about the need to embrace a human-centered leadership philosophy. But that’s not all that requires a rethinking of the role. Today's leaders are not only expected to guide their teams but also to manage an increasing range of duties. According to Gartner research, the average manager now handles 51% more responsibilities than they can effectively manage. This overload highlights an urgent need for programs that don't just add to their knowledge but also simplify their roles and improve manageability.

Using Design Thinking to Enhance Leadership Development

Design thinking offers a structured framework to rethink leadership development, focusing on the actual challenges leaders face and co-creating innovative solutions that resonate with their needs.

Empathize

Understanding the unique challenges that leaders face is crucial. This might involve conducting empathy interviews, observing daily interactions, and identifying pain points in their current roles. It might make sense to find a meaningful segmentation to be able to identify differentiated needs. For example, a first-time supervisor might require different support than a C-level executive.

Define

Clearly outline what leadership skills are most critical, such as storytelling, critical thinking, emotional intelligence, and adaptability. This step focuses on aligning skills with organizational goals and the specific challenges and gaps identified during the emphasize stage. Consider mining people analytics and/or AI supported insights to add to your qualitative research.

Ideate

Now, you can brainstorm innovative solutions. You could even run this as an HR.Hackathon by inviting a cross-section of leaders. Ideation should be grounded in insights from internal discovery work as well as external research. For example, the previously referenced research by Gartner might yield inspiration:

  • Reset Role Expectations: Clearly define and communicate the essential tasks that leaders should focus on, ensuring they align with their core capabilities.

  • Remove Process Hurdles: Identify and eliminate unnecessary bureaucratic processes that consume valuable time, enabling leaders to focus on high-value activities.

  • Rewire Manager Habits: Develop training programs that encourage the formation of strong leadership habits, supported by tools and routines that facilitate day-to-day management tasks.

  • Rebuild the Manager Pipeline: Encourage potential leaders to experience the realities of management early in their careers, allowing them to decide if it’s the right path for them

Prototype

Small-scale implementations of the top three concepts surfaced during ideation can provide valuable insights. These prototypes can be adjusted based on real-time feedback from participants, ensuring that the final programs are both effective and practical.

Test

Evaluate the impact of these leadership programs, using both qualitative feedback and quantitative data to measure their success and scalability.

Case Study: Re-Thinking Leadership Support at a Tech Scale-Up

I was invited by a tech scale-up’s Chief People Officer to support them in re-thinking their leadership development program in support of the company’s continued growth. The initial ask was to re-design training, but based on more in-depth research, the challenge was broadened and articulated as: “How might we re-imagine leadership support to enable our leaders to be successful in their role and become stronger people leaders?”

As part of internal discovery work, the HR Business Partner team received a crash course in design thinking by taking my “Design Thinking 101 for Talent Leaders” online training. They then applied what they learned about discovery by completing three empathy interviews with leaders from the following segments: 1) First Time Supervisor (0-4 years manager); 2) Mid-Level Manager (Sr Manager/Director); 3) Executive (VP+). During the interview, they asked each leader the following questions:

  • “Think about current leadership support at our organization – what is effective? Why?”

  • “What barriers do you encounter that prevent you from being the best leader you can be? How?”

  • “If you could wave your magic wand - what additional support would you like to have as a leader? Tell me more…”

During ideation, the goal was to prioritize top solutions that when combined would contribute to designing a comprehensive leadership support system. I first guided breakout teams through the sharing of insights they gained from their empathy interviews, supported by quantitative data (e.g. from leadership assessments). A few example insights include:

  • Newbie Nancy: “I don’t know what I don’t know.”

  • Mid-Level Matt: “I don’t understand how what I do ties into the big picture.”

  • Exec Emma: “I am bogged down by operational concerns and don’t have capacity to focus on strategic matters.”

Ideation and voting yielded top ideas by segment which were conceptualized as posters. Next, we tested key assumptions to determine which concepts should be further developed. One concept per segment was then refined and rapidly brought to implementation via a design thinking sprint.

My Conclusion

In 2024 and beyond, as organizations continue to navigate a complex business environment, the need for effective leader and manager development programs has never been greater. By applying design thinking, HR can co-create more responsive, practical, and impactful support that prepares leaders not just to manage but to thrive.

[Note: This article was originally published as part of the Design Thinking for HR LinkedIn Newsletter.]

ABOUT THE AUTHOR

Design Thinking for HR is a biweekly LinkedIn newsletter that aims to inspire HR professionals to experiment with the human-centered design framework. The newsletter is curated by Nicole Dessain, a talent management leader and founder of the human-centered transformation consultancy talent.imperative and the HR.Hackathon Alliance. Nicole is currently writing her first book about Design Thinking for HR. Join the Early Readers’ Community here.

Design Thinking Meets People Analytics

I recently led a strategic design thinking workshop with HR leaders and got several questions about the intersection of the method with people analytics. I thought this topic might be of broader interest and so I will explore it in today’s article.

[Side Note: In their 2023 Outlook for HR, research firm Gartner identified “data judgement” - comprised of data foundations, data interpretation, and data storytelling - as a key HR competency. If you are new to people analytics, this talk I gave at a SHRM conference a few years back still provides a decent overview.]

I am a strong believer in mixing methods as the context demands. In my experience, combining a qualitative approach (like design thinking) and quantitative insights (like people analytics) yields the most comprehensive and credible results.

How might we integrate design thinking and people analytics?

For simplicity’s sake, let’s explore the use of analytics along the three steps of the design thinking process: Discover, Craft, and Refine. Coincidentally, each of the three questions I received during the workshop aligns with one of these phases.

DISCOVER

Q: How do you ensure you create the right hypothesis for the people problems to be solved?

People analytics can help us make sure we identify the right problem and aid in hypothesis creation. Often, the key to framing a problem is asking the right questions. Quantitative data helps us to tease out “the what”, while qualitative insights from design thinking discovery methods provide insight into “the why”.

Let’s say a start-up CEO doesn’t feel she has the right tech talent to scale the organization. One area you might examine here is the hiring experience. Analyzing data from your Applicant Tracking System surfaces candidate drop off rates at a specific stage in the hiring process. It looks like most candidates exit the process after the hiring manager interview. Candidate surveys as well as empathy interviews with recent hires and hiring managers might yield insights into why this is happening. These insights become a starting point for narrowing the opportunity you’d want to pursue. In design thinking, the jumping off point is to articulate the opportunity in form of a “How might we...?” or “What if…?” statement. Co-creating this statement with stakeholders based on your qualitative and quantitative data insights will increase your confidence in creating the right hypothesis to pursue.

Resource Tip: Agile HR (Dank/Hellstroem, 2021) provides examples for how to integrate an analytics mindset into our practice.

CRAFT

Q: How to leverage data and insights to curate and deliver people experience strategies around culture, DEIB, and learning?

As you synthesize key themes from your discovery activities, it is helpful to draw from both your qualitative as well as quantitative data.

For example, on a performance management re-design project with a client, indications from qualitative activities (journaling, empathy interviews, and journey mapping) revealed that women of color seemed to not receive substantial enough feedback to be able to obtain higher performance ratings. Analyzing dis-aggregated data from the company’s HRIS showed that fewer women of color had received outstanding and distinguished performance ratings compared to white men and white women in the previous performance year. Academic research further confirmed this to be a common phenomenon. Benchmarking revealed that several companies are experimenting with integrating bias disruptors into their performance management process. Triangulating all these data points resulted in the articulation of the theme as “Constructive feedback and development opportunities are not continuously provided to women of color”.

These themes are jumping off points for ideation and the insights collected can also be used as initial inspiration for solution finding.

How do you effectively communicate your data-based themes and solutions to your stakeholders? Meet data storytelling – “the ability to convey data not just in numbers or charts, but as a narrative that humans can comprehend”. Reasons to convey data through storytelling include that they more easily lead to action, enhance engagement and communication with stakeholders, make it easy to follow with a familiar beginning/middle/end plot-line, become alive with visuals, and make your insights appear more inevitable to your audience.

Resource Tip: Data Story (Duarte, 2019) shares frameworks and tools for how to craft compelling data stories.

REFINE

Q: What value/impact to the business when design thinking is done well? What metrics are used to measure success?

Once you have identified initial solutions, you’d want to test assumptions and prototypes. A combination of quantitative and qualitative analysis comes in handy once again.

In the performance management example above, one of the ideas was to offer a feedback coach to managers [Note: I am sharing this idea because it was one that was ultimately abandoned due to failing several of the assumption tests]. The desirability assumption we aimed to test was whether managers wanted to have a feedback coach. As we know from behavior-based interviewing, one way to predict the future is to look at past behavior. One quantitative data point we collected was through a one-question survey asking: “When was the last time you requested coaching or worked with someone else to help you get better at giving performance feedback?”

A qualitative data point we collected was simulating the moment when a manager is browsing Workday Learning to find feedback training. We mocked up a “home screen” that a manager would see, showing four feedback learning choices: LinkedIn Learning, Workshop, Individual Coaching, and Tip Sheet. As part of the simulation, we asked managers: “Which of these options would you pick to help you get better at giving performance feedback?”

Once you have identified, tested, and implemented your solutions, you need to determine whether they generate value to the business and stakeholders.

You’d want to start by identifying measures that would provide insights into whether the solutions impact an overall business outcome (e.g., employee engagement).

You’d also want to identify a set of metrics that would indicate whether the new/revised solution is yielding the outcomes you’d expect so it might ultimately move the needle on your business outcome. For digital solutions, these might include adoption rate, ease of use, and rate of use.

Resource Tip: Continuous Discovery Habits (Torres, 2021) outlines data collection methods for assumption testing and explains how to measure business and solution outcomes.

[Note: This article was originally published as part of the Design Thinking for HR LinkedIn Newsletter.]

ABOUT THE AUTHOR

Design Thinking for HR is a biweekly LinkedIn newsletter that aims to inspire HR professionals to experiment with the human-centered design framework. The newsletter is curated by Nicole Dessain, a talent management leader and founder of the human-centered transformation consultancy talent.imperative and the HR.Hackathon Alliance. Nicole is currently writing her first book about Design Thinking for HR. Join the Early Readers’ Community here.

How To HR.Hackathon

An HR.Hackathon is a co-creative, time-bound event that uses design thinking methods to generate ideas around an HR challenge.

I initially designed the HR.Hackathon format in 2016 for the DisruptHR Chicago community and then scaled it as part of the HR.Hackathon Alliance.

Since, HR teams have asked me to adapt the format for use inside their organizations. HR.Hackathon as an intentionally designed experience is an effective method for engaging employees.

Here are a few tips that might help you deliver a successful event, regardless of whether you engage me to facilitate the HR.Hackathon or whether you plan to do it yourself:

PLAN THE HR.HACKATHON

Effective HR.Hackathon planning minimizes risks during execution. These are a few questions you’d want to ask yourself during planning:

  • Whom do we need to engage to frame and scope the challenges we want to solve for?

  • What outcomes do we want to achieve (e.g., high level concepts, mid-fidelity prototypes)?

  • Based on the desired outcomes, what’s the appropriate time frame for the HR.Hackathon?

  • Who should be invited to hack, judge, and facilitate?

  • What methods do we want the teams to use for discovery, ideation, and prototyping?

  • Should this be a friendly competition (incl. prizes) or not? If the latter, what will our evaluation criteria be?

  • What happens after the HR.Hackathon?

RUN THE HR.HACKATHON

Facilitating an HR.Hackathon is part art, and part science. Following a well-planned agenda and design thinking activities will help to move the event along and result in tangible outcomes. Here are some dos and don’ts for facilitating an HR.Hackathon:

  • Some participants might find the pace and approach intimidating or unfamiliar at first. Create an environment of psychological safety, fun, and experimentation.

  • Keep participants energized via ice breakers and self-care breaks.

  • Don’t underestimate the impact of hierarchy and cultural maturity when it comes to internal HR.Hackathons. Despite the democratizing impact of design thinking methods, employees are acutely aware of which ideas the VP put forth...

  • Have realistic expectations about the innovation level of ideas, especially if this is the first-time employees participate in an HR.Hackathon and/or if it’s a short event.

EVALUATE THE HR.HACKATHON

Measuring the success of an HR.Hackathon and learning from mistakes should be an integral part of the process. However, this phase is often neglected. Here are some thought starters for how you might evaluate and sustain the impact of an HR.Hackathon:

  • Measuring the Efficacy of an HR.Hackathon as a way to engage employees via a pre-survey/post-survey can measure how engaged they feel in general and more specifically how much ownership they feel over engagement action planning and HR program design.

  • Interpreting HR.Hackathon Feedback and Results: “Nothing in the world is worth having or worth doing unless it means effort, pain, difficulty…” (Theodore Roosevelt). An experience can have ups and downs – both, for participants as well as for organizers. Think about how you take that into account when evaluating the feedback you receive.

  • Sustaining Momentum after the HR.Hackathon: Fruitful and supportive conditions are needed to sustain momentum after an HR.Hackathon. Some organizations use post HR.Hackathon Learning Circles to connect teams to stakeholders.

[Note: This article was originally published as part of the Design Thinking for HR LinkedIn Newsletter.]

ABOUT THE AUTHOR

Design Thinking for HR is a biweekly LinkedIn newsletter that aims to inspire HR professionals to experiment with the human-centered design framework. The newsletter is curated by Nicole Dessain, a talent management leader and founder of the human-centered transformation consultancy talent.imperative and the HR.Hackathon Alliance. Nicole is currently writing her first book about Design Thinking for HR. Join the Early Readers’ Community here.

What is Employee Experience Journey Mapping?

The idea behind it is simple: you look at the journey employees take throughout their time at your organization and break it down into stages. Then you examine each stage from different angles to get the complete picture of what the experience of the employee may look like and how employees feel along the way. From there, you can celebrate the high points and work to change the low points.

Which journeys should we map?

There are many employee experience journeys you can map. To make things less overwhelming and to help with prioritization, we tend to cluster journeys where the most relevant experiences happen. In their book Employee Experience by Design, authors Emma Bridger and Belinda Gannaway suggest the following employee journey groupings:

  1. Join: Journeys related to joining the organization

  2. Work: Journeys related to an employee’s current role and responsibilities

  3. Live: Journeys related to personal life events, employee and family wellbeing

  4. Grow: Journeys related to an employee’s learning and development

  5. Leave: Journeys related to leaving

  6. Sustain: Journeys related to the alumni experience

  7. Rejoin: Journeys related to rejoining the organization (including after leaving or a period of absence such a parental leave)

From here, you want to look at your business strategy, people data, and any other relevant insights to prioritize which journey you might map first. For example, you uncover that you don’t have the right tech talent to scale the business. Consequently, you might prioritize the hiring journey for this talent segment. Or your employee engagement survey reveals that women experience challenges after returning from maternity leave. So, you might decide to examine the maternity leave experience.

How is journey mapping different from process mapping?

While at first glance a journey map looks like a process map, the key difference is that it chronicles step by step activities and associated thoughts and feelings from the employee’s perspective.

Also, the context of the entire journey matters when we want to identify relevant improvement opportunities. That’s why we usually divide the journey into three phases:

1.      how someone enters the experience,

2.      what’s it like as they are in it,

3.      and how to they exit the experience.

It’s like your morning trip to the coffee shop: The entire experience depends on what happened before you got your coffee, as you get your coffee, and after you receive your coffee.

Who needs to be involved in journey mapping?

Journey mapping is a powerful way to align every stakeholder who is involved in bringing a specific journey come to live for the employee. For example, when mapping the onboarding journey, you might include key representatives from Talent Acquisition, Shared Services, IT, HRIS, and L&D.

Journey mapping participants often tell me that this was the first time they all were together and saw the experience end-to-end from the employee’s point of view. They were able to visualize how their piece of the puzzle fit into the whole. In essence, the side benefit of a journey mapping exercise is that you can create greater cohesion and empathy among your HR team while also fostering an employee-focused perspective.

As one journey mapping participant sums it up: “Seeing from an HR lens all the impact we can make to our employees activates me to do more.”

[Note: This article was originally published as part of the Design Thinking for HR LinkedIn Newsletter.]

ABOUT THE AUTHOR

Design Thinking for HR is a biweekly LinkedIn newsletter that aims to inspire HR professionals to experiment with the human-centered design framework. The newsletter is curated by Nicole Dessain, a talent management leader and founder of the human-centered transformation consultancy talent.imperative and the HR.Hackathon Alliance. Nicole is currently writing her first book about Design Thinking for HR. Join the Early Readers’ Community here.

Design Thinking is Change Management 2.0

Between 70-84 percent of transformations fail. Why? Reasons include a lack of engagement within the organization and insufficient investment in building capabilities across the organization to sustain the change.

Many organizations still follow the old paradigm of change management a la “I manage. You change.” Some of the models that we still refer to in change management stem from the 1970s. And there is a lot written about the concept of change resistance, but it reinforces this old paradigm of change done to someone else. As grown adults, we don’t like to be told what to do. Do we?

A New Paradigm

It’s time for a more human-centric change approach. That’s why I believe design thinking is change management 2.0. It’s no coincidence that one of the most quoted design thinking books is Tim Brown’s Change by Design.

What if we applied service design principles and methods to the change processes and brought people along on the journey as change co-creators?

Change designers like Lena Ross and Jason Little have documented how they are applying these new change methods inside organizations.

Human-Centric Change Methods

How might we use design thinking methods to drive our change efforts? Here are a few to get your wheels turning:

Identify key stakeholders: One of my favorite design thinking methods is the stakeholder map. It visually depicts everyone who is impact by or affects the change effort. I use this method at the kick off of every project I lead.

Immerse yourself in empathy: Analyze how employees might feel about what’s ahead using empathy interviews and mapping. This should translate into how and what information is communicated to various employee personas during a change effort. Studies on organizational change show that if you want to lead a successful transformation, communicating empathetically is critical.

Use storytelling: Many of us probably experience change as expressed in this delightful analogy courtesy of comedian Amy Poehler: “I guess this is every moment of life. You start the story, and you go: I don’t like this. I don’t get this. Who are these characters? What is this story about? And then in the middle, you’re like: This is so good. I don’t want it to end. Then it ends, and you think the next story is not going to be as good.

How are you engaging people in the story of your change effort?

Seek ideas from employees: Instead of having authority rest on a few people at the top, ideas and solutions that might drive the change effort can come from the bottom, middle, or anywhere else in the organization. Instead of telling people what to do, ask: “How can we get there?”

Leverage motivational science: We need to get better at understanding behavioral and motivational science and translating it to our work, including to change efforts. Once you understand the elements behind what motivates people, you can then apply learnings to transformational efforts.

Highlight experimentation: One of the greatest organizational transformations many organizations are currently undergoing is the shift to a hybrid work model. This kind of culture shift benefits from small experiments and wins that show real results and encourage people to adopt new norms.

[Note: This article was originally published as part of the Design Thinking for HR LinkedIn Newsletter.]

ABOUT THE AUTHOR

Design Thinking for HR is a biweekly LinkedIn newsletter that aims to inspire HR professionals to experiment with the human-centered design framework. The newsletter is curated by Nicole Dessain, a talent management leader and founder of the human-centered transformation consultancy talent.imperative and the HR.Hackathon Alliance. Nicole is currently writing her first book about Design Thinking for HR. Join the Early Readers’ Community here.

Should I Build an HR Design Function?

I recently received this note from one of our newsletter subscribers: “My team was HR Product Design but since our HR functions have not moved into a product focused role it was confusing people. After some research and aligning on the services we offered, we are rebranding to Employee Experience Design.”

This got me thinking about how to decide when and if to build a function in HR that is dedicated to designing HR services and/or the employee experience.

As a designer, I would start by exploring and clearly defining the problem you are trying to solve. This could be something like “How might the HR operating model need to transform to support the needs of employees in an ever-changing work environment?”

From there you can ideate, prototype and test various operating model options.

What might those operating model options be?

Here are a few models that I have either built myself or come across in my research and conversations with HR leaders:

OPTION #1: Embed Agile ways of working across the HR team

Agile is the name of the game when it comes to accelerating HR program design and delivering on the employee experience. We need to reboot the HR organization by embracing an agile mindset – realizing experimentation will be key in successfully navigating an ever-changing work environment.

According to a recent Gartner analysis of 329,411 job descriptions, the global demand for agile skills among HR-related job postings increased 160% over the last three years. Case in point: The Culture Development team at Germany’s Dr. Oetker boasts Agile Coaches who support the organization around team development and team effectiveness.

The recently published book Agile HR serves as an excellent guide for how to get started with Agile in Human Resources.

As you consider integrating agile ways of working into HR, also assess the broader organization. Rachel Clark, Experience Design Team Manager at National Trust, highlights in this LinkedIn post some of the challenges she encountered because outside of HR, her organizations follows a more waterfall-style approach to strategic planning and project management.

OPTION #2: Cross-functional HR teams lead ad hoc employee experience projects

In this model, cross-functional ad hoc teams form to work on employee experience projects. These projects could be led by a designer from outside or inside HR (or co-led as concluded in one of my recent posts). Some HR organizations have started to experiment with agile teaming at the onset of the pandemic. The University of Chicago Medicine for example convened four cross-functional HR task force teams that were charged with supporting employees, either to anticipate their needs or to respond to them. These teams were successful because of their cross-functional makeup and use of design thinking and agile approaches as they tackled the problems at hand.

Governance and stakeholder management are key in this model. Who manages the HR service portfolio? Who has decision making power?

OPTION #3: Build a dedicated employee experience function

This model requires a true commitment by the organization to an employee experience led approach to Human Resources. It’s likely a multi-year transformation journey. I talk to many Employee Experience leaders and the #1 barrier they all encounter is how to communicate the value of what they do to their HR peers. I am always curious to learn how these teams manage their project portfolio: Is it a pull model where business units ask for EX support and if so, how do they prioritize the incoming work? If it’s a push model, how do they articulate the value to the organization? What are the challenges they encounter? To get a sense for how an Employee Experience function can get scaled, check out the approach Damon Deaner took to build IBM’s Employee Experience function.

MY CONCLUSION

Each model has its pros and cons. I think it helps to embrace a design thinker’s experimentation mindset knowing that the initial model you settle on might get tweaked over time. And that’s ok. Case in point: Airbnb, the first to build a dedicated employee experience function in 2015, has evolved their model since its inception.

[Note: This article was originally published as part of the Design Thinking for HR LinkedIn Newsletter.]

ABOUT THE AUTHOR

Design Thinking for HR is a biweekly LinkedIn newsletter that aims to inspire HR professionals to experiment with the human-centered design framework. The newsletter is curated by Nicole Dessain, a talent management leader and founder of the human-centered transformation consultancy talent.imperative and the HR.Hackathon Alliance. Nicole is currently writing her first book about Design Thinking for HR. Join the Early Readers’ Community here.

The Hybrid Work Transformation — Tips for Leaders

According to Microsoft’s 2021 Work Trends Index released this March which is based on insights gleaned from 30,000 people in 31 countries, 73 percent of workers surveyed want flexible remote work options to continue, while at the same time, 67 percent are craving more in-person time with their teams.

Hybrid is the name of the game for the foreseeable work future.

Not quite convinced of the business case? According to research firm Gartner, benefits of working in a hybrid model can include: improved performance and engagement, increased effort and productivity, expanded and more diverse talent pools, greater emotional well-being, Employee Value Proposition (EVP) fulfillment and alignment, reduced commuting costs and carbon footprint, and reduced facility and operating costs.

What is the opportunity of this moment for leaders?

London Business School Professor Lynda Gratton states in her analysis How to Do Hybrid Right that for a hybrid transformation to succeed, organizations need to “design hybrid work arrangements with individual human concerns in mind, not just institutional ones.”

Never has there been such a profound opportunity to apply human-centered design principles to the world of work.

As a leader you are the designer of your hybrid team environment. And your employees are hybrid work co-creators. The phenomenon of employees quitting by the thousands which started in May 2021 is now coined “the great resignation”. Reasons for this are myriad but one might be that employees feel as though their current employer does not involve them in co-creating how work might look in a post-pandemic world.

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How to get started?

I partner with organizations currently navigating their hybrid transformations and have frequent conversations with their leaders. The following are three pain points I hear most, along with a few design thinking inspired thought starters for how to tackle them.

Pain Point #1: How will hybrid work impact productivity?

Myth: We cannot be productive working in a hybrid environment. Fact: Companies and scholars have been studying the efficacy of distributed work for nearly three decades. Case in point: In 2003, Cisco reported $195 million in savings due to increased worker productivity as a result of flexible working arrangements.

Research by Harvard professor Tsedal Neeley suggests that there are three key drivers of productivity: 1) delivering results 2) facilitating individual growth 3) building team cohesion.

Delivering results is probably the one you primarily associate with assessing productivity. It’s likely the one you are most concerned about when it comes to working in a hybrid context.

If you are not able to see your employees in action all the time, you may worry about worst-case scenarios and revert to micro-managing. This causes stress for yourself as well as your team. Instead, assume that most of your employees will want to do their job well. They have shown this during the pandemic and should have earned your trust. Build on this. Remember, even co-located teams sometimes did not meet their goals.

As a hybrid leader, you want to shift your mindset from leading through process to managing by outcomes. You can take a page from companies like authentication platform provider Auth0 who uses the Objectives and Key Results (OKR) framework.

If transitioning from process to outcomes is a big shift from the way you used to manage, give yourself some grace. Reflect on what differences in personality styles between you and your employee might cause conflict in how things get done. Which biases might you hold that get in the way? What additional clarity might you need to provide, e.g., check points to ask for understanding: “What questions might you have? What’s not clear?”

The second driver of productivity is facilitating individual growth. Individual growth affords the opportunity to expand knowledge, acquire new skills, and be exposed to new perspectives. Individual growth leads to increased job satisfaction that in turn enhances team productivity.

The concept of individual growth extends to employees’ need to choose where, when, and how they work. Professor Neeley cites a study that realized a 4.4 percent increase in output from workers who were given the freedom to choose where to spend their workday.

“Going into the office to work now just seems like driving 30 minutes to sit at a different computer all day,”Karen Benjamin Guzzo, Professor of Sociology at Bowling Green State University

As a leader, you might need to challenge your own habits and way of thinking about how and where work gets done. You might prefer to go to the office five days a week. That does not mean your employees want to do so as well. That also doesn’t mean you should. It creates inequity and shifts the power center to the office — hurting distributed workers and undermining the acceptability of working virtually.

When thinking about what work needs to get done in the office versus from home, follow the data. I recently spoke to a call center leader. Her entire team moved to taking calls virtually last year. Her plan was to bring everyone back to the office because she felt they benefited from turning around in their chairs and asking their teammate a question on the fly. I asked her about productivity in 2020 and she replied that the team saw a fifty percent increase in productivity — while working entirely virtually. I encouraged her to dig deeper and find out what made the team successful last year and then co-create with her employees an approach for when, how, and where work should get done in the future.

The third driver of productivity is building team cohesion. Team cohesion means learning how to work together as a group, rather than individuals working in silos. The productivity result is enhanced coordination, development of collective skills, and maximized team efficiency.

How to maintain cohesion on a hybrid team?

First, let’s challenge our assumption that productive and satisfying working relationships are dependent on physical proximity. Researchers have found that workers can collaborate productively on a distributed team with as little as ten percent of their time spent in face-to-face interaction. More important than colocation is whether team members feel included in the group. On distributed teams, members of minority subgroups as well as team members working from home or single members at a location tend to feel most excluded from the main group. As a leader, be aware of these dynamics and foster equity and inclusion by stressing one group-level identity, reminding team members that they each represent the team, and emphasizing the common purpose team members are trying to achieve for the organization. Research also suggests that providing more opportunities for colleagues to check in with one another can drastically increase team members’ sense of belonging.

Looking for ways to get started? Check out software provider Atlassian’s free team playbooks around distributed teamwork, aligning on project goals, and becoming an agile team.

Pain Point #2: How might we establish new work habits?

Recent research by the University of Chicago suggests productivity gains might not be sustainable in a hybrid work environment if we can’t figure out how to create better hybrid work habits.

Here is where you as a leader can deeply lean into design thinking. Forget the playbook for how work used to get done. You have been given an opportunity to re-imagine and co-create with your team how you will work together in this hybrid world.

Let’s begin with what behavioral scientist and Wharton professor Katy Milkman calls fresh start moments: The first day back at the office marks a fresh start on how we work differently at the company in a hybrid environment. Make it a celebration!

After nudging the team into new habits by celebrating a fresh start, jointly assess and prioritize practices and tasks. First, identify which new practices were successful, why they were successful, and under which circumstances they’re expected to continue to succeed. Second, analyze whether old practices still serve. Third, openly discuss and resolve disagreements and misconceptions about the new procedures. Finally, turn the new practices into habits.

London Business School Professor Lynda Gratton summarizes this approach in her analysis How to Do Hybrid Right:

“New hybrid arrangements should never replicate existing bad practices — as was the case when companies began automating work processes, decades ago. Instead of redesigning their workflows to take advantage of what the new technologies made possible, many companies simply layered them onto existing processes, inadvertently replicating their flaws, idiosyncrasies, and workarounds. It often was only years later, after many painful rounds of reengineering, that companies really began making the most of those new technologies…. Are any team tasks redundant? Can any tasks be automated or reassigned to people outside the team?

One of our most common business practices, the meeting, has come under scrutiny during the last year with many questioning its universal efficacy, or worse, as contributing to collective fatigue:

“The digital intensity of workers’ days has increased substantially, with the average number of meetings and chats steadily rising since last year…This barrage of communications is unstructured and mostly unplanned, with 62 percent of Teams calls and meetings unscheduled or conducted ad hoc.” (Microsoft’s 2021 Work Trends Index)

This is an opportunity to co-create new ways of working with your team members.

To jump start your ideation, here are a few practices I have seen clients experiment with:

Co-create hybrid work guiding principles and rituals (e.g., around decision making, inclusion, alignment, connection, and collaboration).

Design a good mix of synchronous and asynchronous communication channels — establish norms for each.

Dedicate space for uninterrupted, individual work time (e.g., no meetings every Tuesday and Thursday morning).

Keep your one-on-ones frequent and consistent. Start the conversation with a check in by asking your team member “How are you feeling? What is distracting you?”

Reduce the number of meetings by asking: “Is there another way I can achieve my outcome?”

Experiment with audio only meetings to combat Zoom fatigue.

Cut meetings off at 20/50 minutes to allow for a break in between calls.

Role model calling in to meetings from home at least one day a week to normalize distributed work.

Create an environment of psychological safety by presenting the change as an experiment. Share that you will try an initial prototype of a hybrid work setup and then iterate based on the team’s feedback.

As a team, reflect monthly on how new work practices need to be adjusted. Alexandra Lung, Head of Product at Aircall, summarizes her lessons learned from leading a distributed team in this article.

Pain Point #3: How might we continue to nurture our culture?

Many leaders I talk to are worried about how to build trust and maintain culture when some people are in the office and others are not.

Cultivating a culture of kindness, fun, and cooperative collaboration is just as important to the bottom line as your daily to-do list. Ask yourself: What are ways you can design moments of connection, use storytelling to remain in tune with customer needs, and help your team members align their purpose to the organization?

For your inspiration: Design thinking firm IDEO crowdsourced ideas from their community on how to maintain culture in a hybrid environment and structured them around these four key themes:

1. Connect with your purpose

2. Celebrate your team

3. Build trust through openness

4. Embrace camaraderie

How do you foster a culture of innovation in a hybrid environment?

The long held belief that chance meetings in the office spark creativity has recently been dispelled.

But as companies balance a mix of in-person and virtual teams, it will be important to remember that distributed work makes for more siloed teams. For leaders it becomes even more important to foster the social capital, cross-team collaboration, and spontaneous idea sharing that has driven workplace innovation for decades.

Design thinking is a method for complex problem solving and surfacing innovation. If you are not familiar with the method, now might be the time to experiment. Start by honing agile habits first and then applying some part of the method (e.g., brainstorming) to your next team meeting.

Another tactic to actively encourage differences of opinion is to ask: “Can someone articulate an alternate point of view?” Ask this question three times early in the meeting and you will start to create an environment where everyone feels safe to voice their perspective thus increasing the potential for innovative thinking.

Above all: Take comfort in the fact that this is a huge, collective experiment. Acknowledge this, show your vulnerability, and invite your team members for the ride. You might end up with something far better than what you had before…

Key takeaways:

· “People don’t care how much you know until they know how much you care.” — Theodore Roosevelt

· Don’t underestimate the role modeling function you have as a leader.

· Embrace an agile mindset — run experiments and test assumptions around productivity, culture, wellbeing, and new work habits.

· Leverage the safe space of your peers to test experiments and practice empathy conversations.

· Block time and space for reflection on lessons learned.

[Note: This article was originally published as a Medium article.]

ABOUT THE AUTHOR

Design Thinking for HR is a biweekly LinkedIn newsletter that aims to inspire HR professionals to experiment with the human-centered design framework. The newsletter is curated by Nicole Dessain, a talent management leader and founder of the human-centered transformation consultancy talent.imperative and the HR.Hackathon Alliance. Nicole is currently writing her first book about Design Thinking for HR. Join the Early Readers’ Community here.