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notmehul
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meta-review

Cross-reference public user feedback to validate founder claims with source-tiered verdicts.

Updated Aug 27, 2026
Search Tags:#user-feedback#triangulation#competitor-analysis#sentiment-analysis#source-validation#meta-review#market-diligence
One-click install
npx skills add https://github.com/notmehul/mia --skill meta-review-notmehul
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: meta-review
Source: https://github.com/notmehul/mia/tree/main/mia/skills/meta-review
Command: npx skills add https://github.com/notmehul/mia --skill meta-review-notmehul

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Rapidly and systematically validate a founder's market and product claims against unsolicited public user feedback so analysts can separate aspiration from evidence and surface high-value opportunities. The Skill reduces manual web searching, ad-hoc triangulation, and biased interpretation by enforcing a source-tiered, pattern-first approach.

Core Features & Use Cases

  • Structured Discovery: Selects ringed competitors and status-quo alternatives, collects representative evidence across platform tiers, and clusters signals into pain themes, workarounds, switching triggers, satisfaction anchors, and demand signals.
  • Claim Validation: Extracts falsifiable founder claims, maps them to evidence, and issues verdicts (Confirmed / Partially Confirmed / Unconfirmed / Contradicted / Nuanced) with source-tier citations and confidence annotations.
  • Output & Integration: Produces a validated analysis payload (analysis/meta-review.json) and updates the source registry for downstream skills like anti-feku-novelty and MI runner orchestration.
  • Use Case: Ideal for late-stage diligence in market intelligence workflows where public product feedback must be triangulated before investing.

Quick Start

Run a meta-review on the current deal folder to produce a structured validation of founder claims and save the result to analysis/meta-review.json.

Frequently Asked Questions about meta-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate founder claims using public user feedback during market diligence?▼

You can validate founder claims by cross-referencing unsolicited public user feedback against extracted, falsifiable statements to separate aspiration from evidence, issuing structured verdicts with confidence annotations and source-tier citations.

What is the best way to structure competitor analysis and user sentiment validation for B2B products?▼

Competitor analysis and user sentiment validation are structured by selecting ringed competitors, searching Tier A–C public sources, and clustering signals into pain themes, workarounds, switching triggers, satisfaction anchors, and demand signals.

How do I extract and map falsifiable claims to evidence for product opportunity signals?▼

Extracting and mapping falsifiable claims involves collecting representative evidence across platform tiers, tagging by source tier, and producing structured validation outputs with verdicts like Confirmed, Partially Confirmed, Unconfirmed, Contradicted, or Nuanced.

Can I use source validation and sentiment triangulation for late-stage investment diligence?▼

Source validation and sentiment triangulation are ideal for late-stage investment diligence workflows where public product feedback must be systematically triangulated before investing to reduce manual web searching and biased interpretation.

How do I save validated market diligence analysis payloads for downstream intelligence orchestration?▼

You save validated analysis payloads by running a meta-review on the current deal folder to produce a structured validation result, saving the output to analysis/meta-review.json, and updating the source registry for downstream skills.

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