Ask HN: UX – What time consuming tasks have you successfully automated?
The process works, but translating those spreadsheets into actionable insights is challenging. You end up with lots of observations but prioritizing issues, creating meaningful summaries, and getting a clear overall picture isn't immediately obvious. Finding the right priorities from scattered findings takes significant effort.
I ended up building UX Critique (uxcritique.app) - analysts can choose between a rapid AI scan for quick insights or do a complete manual evaluation with structured reporting. Both approaches generate prioritized, actionable reports instead of scattered spreadsheet findings.
The interesting part was realizing how much of expert work consists of systematic, repeatable components alongside the genuine expertise. The tool handles the systematic structuring so analysts can focus on prioritization and contextual recommendations, whether they prefer AI-assisted or fully manual analysis.
I'm curious what similar experiences others have had - where you've found ways to improve professional workflows while preserving expert control over the process?
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