Using data-driven storytelling to shape product strategy

A process for identifying the key insights and narratives in UX design research


A digital illustration in a cartoon style. A man and a woman, dressed in a style from the Regency era (she's wearing a tall hairstyle, a jeweled choker, and a low cut gown and he's wearing a curled wig topped with a crown and ruffled collar and cuffs) are looking up at twelve hot air ballons floating among the clouds in pale grey-blue sky. Of different shapes (including ghost, asterisk, arch, duck head, sheep head, cube, stacked balls, tube, and ballon) and sizes, and in vibrant colors (pink, orange, blue, green, and yellow), they're being applauded by the man and womann watching them float by.

Illustration by Eirian Chapman

Building narratives from the extensive data collected during large research studies begins with identifying key insights (the most significant findings). But when a study has multiple objectives, multiple stakeholders, and uncovers multiple key insights, it can be challenging to determine which data is most important to share.

As an experience researcher on Adobe Design’s Research & Strategy team, I recently led a study to better understand product adoption—including onboarding and usage experiences. The data revealed user journeys, obstacles, clear paths, and the challenges the product team needed to address. It was a complicated bucket of information, difficult to summarize into a single focused story. As I met with different stakeholders, I was drafting individual stories using data that addressed their specific research objectives. By tailoring these smaller stories, each with discrete insights, I was missing the opportunity to weave those key insights into a single macro story about the user journey—that every stakeholder could rally behind.

The complexity of the study, and the amount of data it revealed, led me to create a process that could help me unpack key research insights and structure the details into a single, engaging story—that would be crucial for influencing product strategy. Although used to share insights into a user journey, it’s a framework that can be applied to any aspect of product strategy.

Step one: Investigate your research data to find key insights

A digital illustration in a cartoon style. A pale grey-blue tabletop is covered with blueprints for five hot air balloon shapes (balloon, asterisk. tube, cone, stacked balls). A sheep's hoof reaches in from the left to rubber stamp one of the blueprints with a crown while a duck looks on from the bottom, and a chicken points a wing toward the blueprint of the cone.

Our study data highlighted both experiences (user interaction with features) and broader behavior questions (reasons for product use or non-use). We gained a better understanding of both the barriers and the ease of the user journey as people learned to use our product, but because of the depth and complexity of it, I was having trouble creating a compelling narrative with actionable insights. A series of steps made that work less daunting:

Analyze your data. Our project collected extensive data and addressed questions from multiple stakeholders on multiple topics. To make sense of this complex data set, we organized it into themes to identify what was most important. This involved asking and answering questions to uncover each user's journey and the obstacles they faced:

The questions began to reveal the data we had about the user journey, and the hurdles that people were encountering along it.

For an insight to be actionable, it must be prescriptive enough for the team to implement the required change.


From a broad bucket of insights find the “truths” in your data. Take a step back from the data to discover the key truths in it. For example, did users who persevered and completed an action differ from those who didn’t? Were they evaluating our product in isolation, or alongside other tools to see how it fit into their workflow? Were they focused solely on their own tasks or on tasks when collaborating with others? As we uncovered insights and answers to each of these questions, we uncovered deeper meaning in the data.

Ensure that your insights are actionable. Once the research ends for large studies, you’re faced with the challenge of culling through it, not only to determine which parts of it are important, but also which parts will be actionable. Finding deep meaning in data requires gaining enough clarity to make recommendations that the business can tackle. For an insight to be actionable, it must be prescriptive enough for the team to implement the required change.

Examine your research through a singular lens or framework. As you synthesize your data, take the time to identify the unmet needs and requests of users that were uncovered by their behaviors. Align your insights to a single framework to simplify storytelling. Initially, my attempts at creating a cohesive research story were disjointed because I approached it from multiple angles. The turning point came when I aligned my insights to the user journey and thought process: What were users experiencing? What questions were they asking?


Don’t give up. When you have a deep and overwhelming data set, it can be easy to fall back on the seemingly less complicated task of addressing the needs of individual stakeholders. To gain clarity, pause, ask for help, or talk with someone about what you’ve learned.

Step two: Identify your primary audience

A digital illustration in a cartoon style. A woman's face in profile in the foreground and behind it is a man's profile in pink shadow. She's wearing a tall hairstyle and a jeweled choker (in a style from the Regency era) and smiling and clapping as she looks at a drawing (of an orange and pink hot air balloon floating among the clouds in a royal blue sky) hung by black string, from an orange tack, on a green wall.

Your insights are the summation of your research data, and your audience is the lens through which you’ll fine-tune those insights. Since no story can be all things to all people, if you don't know your audience, there’s no way you’re going to know your story.

Large research studies often include multiple stakeholders, each with a part to play and a stake in the outcome, so finding a “primary” audience can be a challenge. Identifying that primary audience up front will sharpen your story's focus. A product manager may need feature-specific insights, a product marketing manager may need messaging insights, and a VP may need insights for an entire cross-functional team.

Large research studies often include multiple stakeholders, each with a part to play and a stake in the outcome, so finding a “primary” audience can be a challenge. Identifying that primary audience up front will sharpen your story's focus.

Target the person who can influence multiple areas. The simplest way to do that is to find the person who can directly address the challenges defined by your research insights (for my study it was a VP of product management who owned the entire product journey). To single that person out:

Step three: Find the right altitude and level of clarity for your presentation

A digital illustration in a cartoon style. A pink and orange hot air balloon is floating above the earth in a night sky. A duck, a sheep, and a chicken are riding in its basket. The moon is sleeping, the stars are smiling (one of them, wearing sunglasses, is giving a thumbs up) and fireworks (in shades of pink, greeen, yellow, and white) light up the sky.

Finding your audience allows you to uncover their ultimate question (what your audience needs to know to make decisions) and helps you form an opinion, based on research, about what can be done about it. These will provide the altitude for your story and your presentation.

Think about your content in expanded and contracted form. Frame your first story to one person but allow room for telling longer and shorter versions of it.

Presentations are rarely for a single audience. By focusing on the right altitude for one audience, it will ground every presentation that comes after it by providing the starting place for either simplification or deeper dive. Finding that starting point for your narrative is the hard part. There are some tips for getting to the right level of clarity:

Every stakeholder that takes part in a research study will have different motivations, different priorities, and different areas of remit. These differences can be a challenge for researchers at every level. When we share research in a way that maximizes knowledge for a primary stakeholder, with a single point of view, not only are we more effective in sharing it, we’re also more likely to make a significant impact on product strategy. Remember to focus on a single, impactful story tailored to a primary audience and continuously refine your presentation for clarity and relevance.

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