Executive Summary

Product teams—roughly 200,000 organizations responsible for product roadmaps—are overwhelmed by noisy public complaints across reviews, Reddit, Twitter and forums and struggle to translate those signals into prioritized, outcome‑focused decisions. The result is missed opportunities, manual triage and weak evidence linking issues to outcomes like churn or revenue impact. Build a listening and signal‑analysis platform that ingests public text, uses embeddings and LLMs to cluster complaints, infer intent, estimate impact (volume, sentiment, churn risk) and surface ranked opportunities with exports into roadmapping and ticketing tools. It would emphasize explainability—showing representative complaints and the inferred link to measurable outcomes—so PMs can act quickly. This is a sizeable, addressable market: roughly $6.0B (200,000 product orgs × $30K ACV) with a Market Score of 88/100 and Revenue Potential 82/100, driven by two trends—public product conversations are growing faster than in‑product feedback and product teams are shifting to outcome‑based roadmaps that demand evidence‑backed prioritization. Those dynamics make this the right time to offer a tool that turns noisy public signals into roadmap evidence. You can stand out by focusing on high‑precision intent inference and direct linkage to outcomes (churn, NPS, revenue) plus easy integrations, which addresses a key weakness of many social listening tools that surface noise rather than actionable insights. But be upfront: success requires solving data quality, platform access and privacy challenges, and competing with medium‑level incumbents will demand demonstrable accuracy and ROI.

Market Opportunity

Decide what to build next by mining public complaints and signal analysis targets a $6.0B = 200,000 product orgs × $30K ACV total addressable market with medium saturation and a year-over-year growth rate of 12% estimated YoY based on SaaS analytics and product management tooling growth (industry trend estimates from SaaS market reports).

Key trends driving demand: Product teams are prioritizing outcome-based roadmaps which increases demand for evidence-backed prioritization tools — this creates a need for signal synthesis that links complaints to outcomes.; Public product conversations (reviews, Reddit, Twitter, forums) are growing faster than in-product feedback, making public signals a larger source of customer truth.; Advances in LLMs and embeddings make it practical to cluster noisy text at scale and infer intent, lowering the cost of building a product-focused listening layer.; Tool consolidation and API-first platforms encourage integrations that can push prioritized work directly into engineering workflows, reducing friction to adoption..

Key competitors include Productboard, Canny, Brandwatch (or similar social listening).

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Decide what to build next by mining public complaints and signal analysis

Executive Summary

Market Validation

Market Opportunity

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