Research Report Automator

Pro v1.0.0 1 view

Transform raw user research (interviews, surveys, notes) into polished stakeholder-ready reports with synthesis, visualizations, and prioritized recommendations.

What You Get

Save 4-8 hours per report by automating synthesis, analysis, visualization, and narrative writing. Produces presentation-ready markdown reports with executive summaries, key findings, and actionable recommendations.

The Problem

Product managers and UX researchers spend 4-8 hours per study transforming raw research data into stakeholder-ready reports. This involves manual synthesis of interview themes, calculating survey statistics, creating visualizations, writing executive summaries, and formatting for different audiences. The process is tedious, error-prone, and delays insights reaching decision-makers.

The Solution

Automatically generate comprehensive research reports from raw user research data. The skill reads interview transcripts and survey CSVs, synthesizes qualitative themes and quantitative patterns, generates data visualizations, writes audience-appropriate narratives, and produces markdown reports with executive summaries, key findings, and prioritized recommendations. Supports executive, team, and research-focused report formats.

How It Works

  1. 1 Gather research inputs: interview transcripts, survey CSVs, research notes, and objectives
  2. 2 Parse and analyze data: extract themes from interviews, calculate statistics from surveys
  3. 3 Synthesize 5-7 key findings that cut across all research sources
  4. 4 Generate visualizations for survey data (frequency charts, distributions, comparisons)
  5. 5 Write report sections: executive summary, methodology, findings, recommendations, appendix
  6. 6 Compile into structured markdown with professional formatting
  7. 7 Review and refine: verify findings answer research questions and recommendations are actionable

What You'll Need

  • Research artifacts: interview transcripts, survey CSV files, or research notes
  • Clear research questions or objectives
  • Target audience specification (executive, team, or research)
  • Python 3 with pandas, matplotlib, seaborn for visualizations (optional)

Get This Skill

Requires Pro subscription ($9/month)

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Examples

Enterprise Survey Report with Statistical Validation

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Multi-Source Onboarding Research Synthesis

Shows synthesis across 3 research methods (18 interviews, 350 survey responses, 8 usability tests) for a product team audience. Features cross-study triangulation, statistical validation, and implementation-focused recommendations with timelines.

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