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/research-methodology

Methodology for market research and data collection, ensuring data quality and source traceability

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wanman
6726 skills
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$ npx -y skills add chekusu/wanman --skill research-methodology --agent claude-code

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  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/research-methodology

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Methodology for market research and data collection, ensuring data quality and source traceability

SKILL.md

research-methodology.SKILL.md
name: research-methodology
description: Methodology for market research and data collection, ensuring data quality and source traceability

Research Methodology

Core Principles

**Every data point must have a source and confidence score.** Estimates are not facts — label them as estimates.

Data Source Hierarchy

| Tier | Source Type | Confidence Range | Examples | |------|-----------|-----------------|---------| | 1 | Official public data | 0.85-0.95 | Government statistics, public company filings, industry association reports | | 2 | Authoritative media | 0.70-0.85 | Major financial media, industry analysis reports | | 3 | Web search results | 0.50-0.70 | Blogs, forums, review sites | | 4 | Model inference/estimates | 0.20-0.50 | Extrapolations from known data, analogical estimates | | 5 | Training data memory | 0.10-0.30 | Data from model memory (may be outdated) |

Search Strategy

1. **Search before estimating**: Do not guess from training data if the information can be searched 2. **Cross-validate**: Confirm key data from at least 2 independent sources 3. **Label timeliness**: Note the time range of data (e.g., "2024 data") 4. **Distinguish facts from opinions**: Clearly label when quoting

Data Recording Format

Use `wanman artifact put` to record each research data point:

# Good recording practice
wanman artifact put --kind market_data --path "competitors/cafe_a/pricing" \
  --meta '{"source":"web_search:dianping.com","confidence":0.65,"data_date":"2024-12","avg_price":35,"currency":"CNY","category":"specialty_coffee"}'

# Bad practice (missing source and confidence)
wanman artifact put --kind market_data --path "competitors/pricing" \
  --meta '{"avg_price":35}'

Common Pitfalls

  • **Survivorship bias**: Successful cases found via search do not represent the full industry picture
  • **Outdated data**: Rent and foot traffic data from 2 years ago may have changed significantly
  • **Regional differences**: Tier-1 city data cannot be directly applied to tier-2 or tier-3 cities
  • **Currency/unit confusion**: Always label currency and measurement units
Read more
Ships withwanman

Agent Matrix framework — run a supervised network of Claude Code or Codex agents that collaborate on your machine. wanman is an open-source local-mode agent matrix framework.

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TypeScript
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Apache-2.0
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1mo ago
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Repo: chekusu/wanman