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SignalPRD

Turn app store reviews into prioritized PRDs with AI-powered analysis.

Product teams spend hours reading reviews to find insights. I built SignalPRD to automate that. Paste a link, get themes scored by impact, and generate PRDs in one click.

AI/ML
Next.js
GPT-4o-mini
RICE Scoring
Visit App
SignalPRD interface

Paste any App Store or Google Play link to analyze reviews and extract prioritized themes

Key Features

AI Theme Extraction

GPT-4o-mini uses a map-reduce pipeline to analyze ~50 reviews, clustering them into actionable themes like "login issues" or "missing features" with automatic PII redaction.

RICE Prioritization

Each theme is scored using RICE (Reach × Impact × Confidence / Effort) with transparent breakdowns, so you can justify roadmap decisions to stakeholders.

PRD Generation

Generate structured PRDs for any theme with one click. Includes user stories, acceptance criteria, and evidence-backed quotes from actual reviews.

Instant Analysis

Just paste an iOS App Store or Google Play link. SerpApi fetches the reviews automatically, so no CSV uploads or manual data entry required.

Tech Stack

Frontend & Backend

  • • Next.js 15 with App Router
  • • TypeScript & Tailwind CSS
  • • Shadcn UI Components

AI & Data

  • • OpenAI GPT-4o-mini
  • • SerpApi for review fetching
  • • Map-reduce pipeline

Try It Yourself

Analyze any app in seconds. Just paste a link and let AI do the work.

Launch SignalPRD