# Research Evidence Stack

> A stack for turning papers, sources, highlights, and research notes into evidence-backed briefs and decisions.

- Canonical: https://gptnavi.com/stacks/research-evidence-stack
- Estimated monthly cost: $20-$180/month
- Last materially updated: 2026-08-24
- Best for: Researchers, Consultants, Analysts, B2B writers

## Problems this stack solves

- Literature review
- Evidence synthesis
- Source tracking
- Research briefs
- Claim checking

## Recommended tools

### Paper discovery

Recommended: Elicit, Consensus, SciSpace

Why: Find relevant papers, compare claims, and understand methods faster.

### Source-grounded workspace

Recommended: NotebookLM, Notion

Why: Keep research notes grounded in uploaded sources and organized by question.

### Highlight capture

Recommended: Glasp, Readwise Reader

Why: Preserve exact evidence, examples, and quotes from sources.

### AI synthesis

Recommended: ChatGPT, Claude, Kimi

Why: Turn notes into briefs, caveats, and decision recommendations.

### Reference collections

Recommended: Raindrop.io, Tana

Why: Store source collections and reusable research maps.

## Beginner setup plan

1. Start with one narrow research question and one decision it supports.
2. Track every source with the claim it supports or weakens.
3. Separate evidence, interpretation, and recommendation in every brief.
4. Use expert review for high-stakes health, legal, or financial claims.

## Included workflows

- https://gptnavi.com/workflows/literature-review-to-evidence-brief
- https://gptnavi.com/workflows/research-inbox-to-weekly-insight-brief
- https://gptnavi.com/workflows/research-notes-to-knowledge-base
- https://gptnavi.com/workflows/research-a-niche-market-with-ai