Analytics Dashboards designed for user needs

When building products I always start with asking why. Finding the real needs of our clients is a prerequisite to building products and features that are useful, serve people’s needs and even bring delight.

While working as a Senior Product Designer at Reward Gateway, we knew for some time that the reports and the usage data provided needed to improve. To better meet clients’ expectations and needs. That is why we built the Analytics Engine.

Manager's dashboard



Understand, ideate, prototype, test!

We don’t do guessing. We do research to develop an understanding about the problem we are solving. Then ideate, empathise, prototype and put our ideas to the test.

Feedback is critical. Sometimes we reach out to key stakeholders whose opinion and feedback is most vital, other times we need the general public to just try out our ideas.

research summary

For t‍he new Analytics Engine I did 3 focus groups and 18 individual sessions in order to make sure we are building the right solution that will bring maximum value to our clients. And that was only for Recognition and Manager dashboards!

Then I did another 7 sessions for reporting around employee communications and other members of the team did 2 focus groups and a series of meetings with key stakeholders for a dashboard providing stats for a discounts product. On a client advisory board in London, led by Reward Gateway’s Head of Product‍, 6 clients were presented the dashboards. They gave feedback and helped with ordering charts in a card sorting exercise, discussed challenges around usage stats, return on investment (ROI) and proving the benefit of the platform to leaders in their organisations.



Continuous feedback and iterations

Since Reward Gateway launched an Alpha version of the Analytics Engine with select clients, people were impressed with its capabilities. But we were not finished yet. We launched a Beta version, expanding to more clients, and later officially released the dashboards. Even today, based on feedback, we do small tweaks and add new features improving the Analytics Engine and continue to delight our customers by providing meaningful insights and empower people to make data driven decisions.

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More detailed information on this work is not available due to confidentiality of the employer.