Competitive Product Research
Paste the following prompt into your AI chat to install this skill:
Please follow the guide at https://skillhub.cn/install/skillhub.md to install @user_0de90603/competitive-product-research.
About this skill
Core Problem: How to Systematize Competitive Analysis from Fragmentation?
In product iteration and strategic decision-making, competitive research is critical but often suffers from scattered data, broken evidence chains, and inconsistent frameworks. Teams need a traceable, structured report to inform decisions, not ad-hoc screenshots or subjective judgments. Manual compilation risks missing key points and lacks consistency in analysis depth.
Skill Workflow
This skill implements systematic competitive analysis via the dual-track four-layer method:
- Information Collection Checklist: Starts from research objectives, uses an interactive form (e.g.,
assets/intake-form.html) to gather necessary parameters like benchmark targets, core scenarios, and output formats. Supports fragmented inputs (e.g., screenshots/links), auto-indexes evidence, and marks gaps asSRC-GAP. - Experience Track Analysis: Breaks down competitors into eight dimensions (e.g., first-order links, publishing flows, onboarding steps) at minimal operational nodes, contrasts with our gaps, and tags each key conclusion with
SRC-xxxevidence labels (user inputSRC-U, public sourcesSRC-P, etc.). - Strategy Track (Optional): For market landscape, employs frameworks like SWOT, Five Forces, or PESTLE to diagnose competitive strategies and differentiation opportunities, avoiding pure conceptual speculation.
- Output Generation: Based on confirmed format, generates HTML (strictly using
report-template-pro.html) or Markdown reports, including benchmark tables, Key Findings, Roadmap (with Owner/Priority), and Source Index. Public sourceSRC-xxxtags must be clickable links to original URLs.
Caveats and Boundals
- Rigid Constraints: Information priority, no fabrication; all key conclusions must link to at least one
SRC-xxx; reports must include Rigid elements (e.g., Source Index, disclaimer); in HTML reports, evidence tags cannot be merged and must link individually. - Flexibility: Strategy modules can be selected as needed (e.g., only SWOT); experience dimensions can be merged for similar areas (e.g., grouping
D1-D3); supplementary appendices are allowed beyond output format but not mandatory. - Applicable Scenarios: Suitable for PRD review materials, feature benchmarking, strategy diagnosis, etc.; but if input is insufficient (e.g., only one competitor), it will ask follow-ups or use "our solution/industry common practice" as a reference with noted limitations. When objectives or targets are uninferrable, it explicitly refuses to generate invalid reports.
Use Cases
- Before PRD review, a product manager needs a competitive feature benchmarking report to support roadmap decisions with data.
- When entering a new market, the marketing team analyzes competitor layouts and industry Five Forces to identify differentiation opportunities.
- UX designers optimizing the sign-up flow compare key interaction nodes of competitors, outputting experience gap analysis with screenshot evidence.
- A strategy consultant preparing board materials for a client generates a traceable competitive HTML report including SWOT and roadmap.
Best For
- Product Manager: Needs to output monthly competitive benchmarking reports to guide feature iteration and prioritization.
- Market Strategy Analyst: Requires systematic competitive data and strategic frameworks when formulating competitive strategies for clients.
- UX/UI Designer: Before restructuring user flows, references competitor experience designs and documents evidence to persuade stakeholders.
- Startup Founder: Needs professional competitive analysis materials for fundraising roadshows to demonstrate market insights and differentiation.
Related Skills
A universal base component that automatically launches the Edge browser and connects the BrowserSkill extension, ensuring readiness for web scraping and browser automation tasks.
A fully local-run WeChat chat analysis tool with MBTI personality inference, sentiment analysis, risk detection, relationship health assessment, and conversation prediction, emphasizing privacy.
Fetches the top 20 A-share stocks by trading volume from Wencai, including ranking, price changes, and sectors, with sector analysis.
Performs project discrimination, classification, and structured extraction on bidding documents, outputting standardized data with support for manual review.