PMs deal with this constantly: there’s no shortage of customer feedback, but turning it into a defensible product decision is hard.
Teams can collect hundreds of reviews and still be left asking, what actually deserves our attention?
App Store Product Insights solves that problem!
My product takes an app’s 200 latest App Store reviews and turns them into a structured PM analysis: what users value, where they’re struggling, what needs are emerging, and what the product team should investigate next.
I built a structured AI analysis workflow to do the judgment-heavy work: finding patterns, interpreting needs, and helping prioritize, while keeping the underlying facts and evidence computed, constrained, and traceable. I tested the system across 10 apps spanning a range of industries and product types.
Choose an app below and dig into the analysis.
This portfolio demo ships … precomputed analyses so every report loads instantly and consistently for every visitor, without live inference cost or variability. The underlying methodology (frozen review snapshots, deterministic statistics, evidence-linked AI analysis) is built to work on any App Store listing; this V1 exposes a curated, pre-analyzed set rather than live on-demand analysis.