Sure, it would be ideal if you could sit in on all your EdTech product’s test sessions. But as a product owner, it probably feels like there are never enough hours in the day. You simply can’t be present every time users test your product. But you also don’t have to wait until testing is complete to get up to date. When you access this Early Research Recap Worksheet, you can squeeze the most value out of each round of UX research. It provides a thorough report of what’s happening, as it’s happening — and the answers to your most pressing questions.
A speedier design process and a better end-product are possible when your UX designers and researchers work in lockstep. And that requires their continuous communication at all points of your product’s development process — especially in user testing. Download this free user testing worksheet that our UX designers and researchers created together in order to: track important user testing dates and links, describe users and research goals, and provide a list of research questions, tasks, and subtasks.
When you identify that you have cross-cultural product users or you want to expand to other regions, design complexity ensues. Your EdTech product’s UX design choices are important; everything from color to copywriting directly impacts how your users experience your product. Each design element either helps meet your users’ needs — or prevents them from being met.
Your UX research reports serve as a guide for your EdTech product team’s decision making. They should also be an important artifact for design and product development in the future, and as such, must be clear, organized, and insightful. Use our free guide to help you tell a compelling — and enduring — research story through your reports.
In the EdTech industry, data drives business decisions — and that’s a good thing. Leaning into facts and metrics prevents you from being sidelined by assumptions and blinded by bias. Plus, data is available for your whole team to use. Shared data points can keep your team aligned and create ways for them to collaborate and connect. But data can be incredibly difficult to sort through; it’s not automatically helpful and instructive.