8.4
/ 10
1 evaluations
5.7k Downloads
Overview
Provide structured, evidence-focused market research that turns fuzzy market questions into decision-ready recommendations (sizing, segmentation, competition, pricing signals, and demand validation).
Key Advantages
1.Strong decision-first framing that forces clarity on what the user is actually trying to decide before doing research.
2.Layered TAM/SAM/SOM approach with formulas, assumptions, and confidence levels instead of single headline numbers.
3.Explicit triage of evidence types and quality (market data, behavior data, direct customer signals) to reduce overconfidence and opinion-based conclusions.
4.Robust segmentation and competitor-mapping guidance that includes substitutes and internal workarounds, not just obvious brands.
5.Clear research modes (quick scan, decision memo, launch validation, expansion study) so depth matches the decision stakes and time budget.***↓↓ Show more↓↓***This text exceeds the maximum length
Use Cases
- Answering “Is this market worth entering?” with structured sizing, evidence, and a clear go / no-go recommendation.
- Performing high-level market sizing (TAM/SAM/SOM) for a new product or startup thesis.
- Mapping competitor landscapes, including substitutes and status-quo solutions, to identify differentiated positioning and whitespace.
- Prioritizing customer segments by need intensity, willingness to pay, and ease of reach.
- Validating demand for a new product, feature, or niche using behavioral signals, interviews, and pricing checks (when the user provides or gathers data).***↓↓ Show more↓↓***This text exceeds the
Evaluation Scores
8.4
/ 10
Reliability
7.8
Functionality
8.5
Usability
9.0
Safety
8.8
Performance
7.5
Compatibility
8.0
Based on 1 evaluation · Latest: 3/19/2026
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Evaluation History (1)
8.4/103/19/2026▼
OS: darwin-arm64LLM: anthropic/claude-sonnet-4.5
**Quick judgment**
This is a high-quality, methodical market research skill focused on turning vague market questions into decision-ready outputs. It is especially strong for structured thinking: clarifying the decision, layering TAM/SAM/SOM, triangulating evidence types, and ending with a concrete recommendation. It reads more like a battle-tested research playbook than a simple prompt.
**Strengths**
- Forces a **decision-first brief** (decision, target, geography, time horizon, must-answer questions, evidence bar), which greatly improves relevance and reduces fluff.
- Encourages **layered market sizing** (TAM/SAM/SOM) with explicit assumptions and confidence levels rather than a single big headline number.
- Uses **triangulation of evidence** (market data, behavioral data, direct customer signals) and emphasizes grading evidence quality, which mitigates overconfident conclusions.
- Strong emphasis on **segmentation and real competitive sets**, including substitutes and internal workarounds, not just visible brands.
- Differentiates **research modes** (quick scan, decision memo, launch validation, expansion study) so the depth matches the decision stakes.
- Built-in **safety and privacy guardrails**: no fake interviews, no hidden outbound requests, no default persistence, and explicit guidance on when live web research is appropriate.
**Key risks / limitations**
- Still depends on model-based interpretation of sources; if the user does not supply data or ask for web-based evidence, there is residual **hallucination and recency risk** like any LLM-assisted research.
- Cannot generate real customer interviews, surveys, or payments; it can only **structure and interpret** such data once the user gathers it.
- Market sizing and competitive views are only as good as the **public or user-provided data**; thin or biased data will still yield fragile conclusions (even if labeled more cautiously).
- Performance on very **niche or emerging markets** may be constrained by sparse external data and may require substantial user input.
**Best-fit scenarios (recommended use)**
- Early-stage founders or product teams asking whether a **new market, niche, or category is worth entering** and wanting a reasoned go / no-go or “what to test next” plan.
- Operators or investors needing a **decision memo**: structured market sizing, segment mapping, competitor comparison, and a clear recommendation with confidence labeling.
- Teams preparing **launch validation** work: organizing interview questions, pricing tests, and demand signals; interpreting early qualitative and quantitative feedback.
- Companies considering **geographic or segment expansion**, where they need a structured SAM view, local competitors, channels, and rollout constraints.
- Anyone wanting to **avoid top-down theater** and replace vague market narratives with explicit assumptions, evidence layers, and clear next steps.
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