šŸ› ️ Don't forget to PEE on your data

I recently shared a rough MVP with some potential users for a Chrome Extension I’m building that helps property buyers make smarter decisions.


The first version was a checklist — scraping and augmenting listing data, highlighting what was missing, and automating questions for estate agents.


The feedback? While helpful, it was overwhelming. Users wanted help understanding the data, not just being told what they need to message the agent about. They needed clarity and confidence — not just more info.


It reminded me of being 15 in school being taught how to write essays: PEE – Point, Evidence, Explanation.


I was showing the Point and the Evidence… but missed the Explanation (analysis). It turns out, users first need analysis: “What does this mean for me?”


Only after that do they want the evidence and deep dive on to each checklist item.


So now, I’m building a dashboard to help users see what’s important at a glance — and then dig in if they want to.


How do you approach synthesising data into something useful?


#BuildInPublic

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