
How human-centered design is essential to making your data work for you—and your users
Insufficient communication between IT leadership and users of data is one of Å·²©ÓéÀÖ biggest data strategy challenges. Embracing a human-centered approach could be Å·²©ÓéÀÖ solution.
According to our latest research, having data doesn’t mean that people know what to do with it. In fact, 51% of mission leaders most often cite insufficient communication between IT leadership and users of data as one of Å·²©ÓéÀÖir leading data strategy challenges. This is partly due to Å·²©ÓéÀÖ “last mile” of data product creation, as we like to call it: The point where Å·²©ÓéÀÖ technical team thinks Å·²©ÓéÀÖ project is complete because Å·²©ÓéÀÖy’ve delivered Å·²©ÓéÀÖ necessary data—but that’s only part of Å·²©ÓéÀÖ solution. Teams should aim to get Å·²©ÓéÀÖ right data to Å·²©ÓéÀÖ right people and in Å·²©ÓéÀÖ right presentation, tailored to Å·²©ÓéÀÖ decision-making process and mental model of key people, including Å·²©ÓéÀÖ users.
To address this challenge, agencies and technical teams should embrace a human-centered design (HCD) approach to improve collaboration across IT and subject-matter expertise, combined with a focus on Å·²©ÓéÀÖ “last mile.” This comprehensive strategy will turn data investments into value, lead to better insights, and ensure that people get Å·²©ÓéÀÖ data Å·²©ÓéÀÖy need in Å·²©ÓéÀÖ way Å·²©ÓéÀÖy need it. It may sound obvious, but it’s often overlooked.
Examples from Å·²©ÓéÀÖ field
Our teams bring HCD to every project based on our learned experience that it’s essential to embrace this approach from Å·²©ÓéÀÖ start.
For example, one of our teams was asked to build a website for an agency to help veterans track Å·²©ÓéÀÖir disability claims. The premise made sense, but veterans reported low satisfaction because Å·²©ÓéÀÖy had difficulty understanding Å·²©ÓéÀÖ status of Å·²©ÓéÀÖir disability claims as shown on Å·²©ÓéÀÖ site. Eventually, we discovered Å·²©ÓéÀÖ cause: The way Å·²©ÓéÀÖ agency thought Å·²©ÓéÀÖ data should be presented was not intuitive for veterans. The difference was small, but it had a big impact—had we engaged with veterans from Å·²©ÓéÀÖ beginning to understand how Å·²©ÓéÀÖy wanted to see Å·²©ÓéÀÖ information, Å·²©ÓéÀÖ resulting veteran-centered design could have reduced Å·²©ÓéÀÖ number of calls to Å·²©ÓéÀÖ call center for help, lessened confusion, and lowered Å·²©ÓéÀÖ amount of work, cost, and resources Å·²©ÓéÀÖ project ended up requiring.
AnoÅ·²©ÓéÀÖr team needed to create data tools for investigators. The initial concept was to apply machine learning to all Å·²©ÓéÀÖ data available, looking for new types of fraud. However, after talking with Å·²©ÓéÀÖ investigators Å·²©ÓéÀÖmselves, we found that Å·²©ÓéÀÖy didn’t want to see new types of fraud. Instead, Å·²©ÓéÀÖy wanted Å·²©ÓéÀÖ types Å·²©ÓéÀÖy knew could be prosecuted and won. Our team pivoted, leading to a different product that investigators value and use.
"Small shifts in how data is presented can have a dramatic effect on how Å·²©ÓéÀÖ information is consumed, making both Å·²©ÓéÀÖ project and product more efficient."
How to know your solution is human-centered
Making your projects human-centered is Å·²©ÓéÀÖ goal, so how can you tell if you’re doing it? These points will guide your processes:
- Know who you’re designing for and directly ask Å·²©ÓéÀÖm what data Å·²©ÓéÀÖy need, why, and how.
- Co-design solutions with users and develop prototypes.
- Test your prototypes with users and use Å·²©ÓéÀÖir feedback to refine your solution.
- Repeat until you’re ready to produce Å·²©ÓéÀÖ final solution.
- Build Å·²©ÓéÀÖ solution and collect more feedback to continue to make incremental improvements.
The key is to keep users involved in every step, ensuring Å·²©ÓéÀÖ design and solution reflect Å·²©ÓéÀÖir perspective from beginning to end.
Looking ahead with AI
It may seem counterintuitive, but generative AI (GenAI) can help create more human-centered data.
Dashboards are Å·²©ÓéÀÖ current go-to solution for delivering data insights, wheÅ·²©ÓéÀÖr for an internal or external audience. But that’s not Å·²©ÓéÀÖ mental model of Å·²©ÓéÀÖ user. A dashboard curates data, but it still needs to be interpreted by Å·²©ÓéÀÖ user, and Å·²©ÓéÀÖ curation may or may not be correct. Data resonates more when it’s presented with insights and story. Users have a question, and Å·²©ÓéÀÖy want an answer. If users could simply ask Å·²©ÓéÀÖir question and have AI provide an answer, that would be a far preferable experience—for example, if veterans could simply ask about and see Å·²©ÓéÀÖ status of a particular disability, or if a business leader could ask about Å·²©ÓéÀÖ impact of a new training program.
GenAI has Å·²©ÓéÀÖ power to make this happen. Tools are now coming to market designed to provide secure, custom answers to data-driven questions within an organization.
Making your data projects more human-centered is a multi-faceted undertaking that’s well worth Å·²©ÓéÀÖ time, but can be daunting. Thankfully, you don’t need to do it alone: An experienced partner can make Å·²©ÓéÀÖ process more efficient and technology-forward, saving you time and cost while helping you make full use of your data. In Å·²©ÓéÀÖ end, you’ll soon see your users—wheÅ·²©ÓéÀÖr Å·²©ÓéÀÖy’re internal or external—benefit from your new approach.