From customer evidence
to defensible thesis.
Turn fragmented customer feedback into structured market intelligence — with every conclusion traceable to its source.
Six stages. One evidence chain.
Raw customer feedback is progressively filtered, structured, and compressed into executive-ready market theses.
Customer Reviews
Unstructured merchant reviews gathered across app marketplaces (Shopify, Google Play).
Observations
AI-extracted specific workflow failures, evidence quotes, and operational impacts.
Recurring Problems
Clustered canonical problem patterns unifying identical market pain points across apps.
Customer Intents
Formulated merchant objectives, workflow desires, and underlying solution requirements.
Market Opportunities
Scored market failures and underserved gaps backed by multi-merchant evidence strength.
Startup Theses
Actionable product hypotheses, ideal customer profiles, and strategic positioning moats.
Customer Reviews
Unstructured merchant reviews gathered across app marketplaces (Shopify, Google Play).
Progressive Synthesis Metrics
Unstructured feedback is compressed into decision-ready hypotheses without losing line-by-line evidence provenance.
See the research in action
Interactive, evidence-connected views into deep market research artifacts.
Connect the evidence.
Every observation, problem, intent, opportunity, and thesis remains connected through a directed evidence graph.

Every conclusion has a trail.
Follow a conclusion back through the research pipeline to the customer evidence that supports it.

Turn evidence into a thesis.
Transform validated market friction into structured product hypotheses, ideal customers, and defensible strategic moats.

Every conclusion has a trail.
Unlike generic AI tools, ORP Studio never presents unexplained summaries. Every thesis links directly back to verbatim source reviews.
“AI tutor pronunciation is inaccurate for technical jargon during voice practice sessions.”
Speech synthesis engine fails phoneme recognition on domain-specific vocabulary.
Off-the-shelf TTS voice models lack customizable acoustic lexicon support for niche domains.
Learners desire real-time phonetic feedback tailored to specific industry glossaries.
Sub-50ms domain-specific acoustic model fine-tuning engine for language apps.
Build a specialized phonetic validation SDK providing instant custom lexicon tuning for AI learning platforms.
Structured outputs for decision-makers.
Research is synthesized into executive-ready deliverables designed for founders, product strategists, and investors.
The Investment & Strategy Memo
An executive-ready memo synthesizing market dynamics, competitive failure vectors, customer intent clusters, validated opportunities, and defensible product theses into a unified decision document.
Market Opportunities
Prioritized structural gaps scored across competing software products.
Startup Theses
Structured product hypotheses, ideal customer profiles, and positioning moats.
Knowledge Graph
Visual node graph linking every evidence quote directly to market conclusions.
Transform customer evidence
into defensible market intelligence.
Start a new research run across software marketplaces or explore pre-analyzed market research workspace artifacts.