Research Analyzer
Turn any research paper into a structured breakdown in seconds
6-dimension extraction
Any text format
Structured JSON output
Framer Motion animations
01The Problem
Research papers are written for peer reviewers, not practitioners. A 12-page methods section written in academic English takes 30 minutes to parse if you're not in the field — and even then, extracting actionable insights requires substantial synthesis. I wanted a tool that could bridge research and practice instantly.
02The Approach
The app takes any research text — abstract, full paper, or section — and runs it through a structured Claude prompt designed to extract six specific dimensions: plain English summary, quantitative key findings, methodology critique, limitations, practical applications, and follow-up research questions. Each section is labeled and formatted separately so users can jump to what they need.
03Architecture Decisions
Structured extraction prompt
The system prompt asks Claude to extract six specific dimensions and return them as a JSON object with labeled sections. The prompt enforces that key findings must include actual numbers when present and that limitations must be specific, not generic. This prevents vague 'more research needed' responses.
Framer Motion progressive reveal
Results sections animate in sequentially — summary first, then findings, methodology, etc. — creating a reading experience that feels intentional rather than a wall of text appearing at once. Each section has a distinct visual treatment.
Harrison's own papers as test cases
The example abstract pre-loaded is from Harrison's own research on carbohydrate mouth rinsing and cycling durability. Testing on a domain he deeply understands allowed precision evaluation of extraction quality.
04Key Insight
The quality of extraction correlates strongly with prompt specificity. 'Summarize this paper' produces vague output. 'Extract the exact numerical findings reported in the Results section, formatted as bulleted statements including sample size and p-values' produces precise, usable output.
05Why It Matters
Bridges the gap between academic research and practical application. Directly relevant to researchers, students, evidence-based practitioners, and anyone who needs to rapidly synthesize scientific literature.