Notion Research Documentation

Notion Research Documentation

Use This Skill When

• Documenting market research and competitive analysis
• Organizing user research findings and insights
• Capturing competitor features and pricing
• Building historical research repository
• Preparing data for product decisions
• Sharing research findings across team

When NOT to Use

• Raw data collection (capture first, then organize)
• Real-time research (iterate, then document)
• Sensitive customer data (use secure systems)

Context: Research Documentation Maturity

Undeveloped: Research scattered; same research done repeatedly.

Target: Organized research database with methodology, findings, sources.

Optimized: Automated data collection, analysis templates, AI-searchable insights.

Core Principle

Documented research scales. Centralizing research methodology and findings prevents redoing research and enables pattern recognition across studies.

Instructions

Step 1: Design Research Database

Create Notion structure:

Research Repository:
├── Research Project
│   ├── Title
│   ├── Type: [Market, Competitive, User, Product]
│   ├── Objective: [What are we trying to learn]
│   ├── Methodology: [Survey, Interview, Analysis, etc]
│   ├── Date Started
│   ├── Date Completed
│   ├── Owner
│   ├── Status: [Planning, In Progress, Completed, Archived]
│   └── Key Finding: [1-line summary]
├── Competitive Entry
│   ├── Company
│   ├── Product
│   ├── Features: [List]
│   ├── Pricing
│   ├── Strengths
│   └── Weaknesses
└── User Insight
    ├── Segment
    ├── Insight
    ├── Evidence
    └── Confidence

Step 2: Research Methodology Template

## Research Project Template

**Title**: [Clear name of research]
**Type**: Market / Competitive / User / Product

**Objective**: [What question are we answering?]
- Example: "Understand market size for AI tools in logistics"

**Methodology**: [How did we research?]
- Survey: 150 logistics managers
- Sources: Crunchbase, G2, direct outreach
- Timeline: 2 weeks

**Key Findings**: [Top 3-5 insights]
1. Finding 1: [Context and evidence]
2. Finding 2: [Context and evidence]
3. Finding 3: [Context and evidence]

**Confidence Level**: [High / Medium / Low]
**Data Quality**: [Sample size, recency, bias assessment]

**Implications**: [What should we do with this?]
- Action 1: [Specific recommendation]
- Action 2: [Specific recommendation]

**Sources**:
- [Source 1] (date accessed)
- [Source 2] (date accessed)

**Related Research**:
- [Link to previous similar research]

**Decision Made**: [If this research drove a decision, link it]

Step 3: Competitive Analysis Template

## Competitor Entry

**Company**: [Competitor name]
**Product**: [Product name]

**Overview**:
- Founded: [Year]
- Funding: [Total raised]
- Team size: [Estimate]
- Market focus: [Target segment]

**Features**:
- Feature 1: [Description of capability]
- Feature 2: [Description]
- Feature 3: [Description]

**Pricing Model**:
- Tiers: [Free/Pro/Enterprise]
- Price: $[X]-$[Y] per month
- Target segment: [Who buys]

**Strengths**:
1. [Competitive advantage]
2. [Competitive advantage]
3. [Competitive advantage]

**Weaknesses**:
1. [Gap vs. similar products]
2. [Gap vs. similar products]

**Recent News**:
- [Funding round / Partnership / Launch]
- [Hiring / Leadership changes]

**Market Position**: [Leader / Challenger / Niche]
**Threat Level**: [High / Medium / Low]

**Last Updated**: [Date]
**Data Quality**: [High / Medium / Low]

Step 4: User Insights Documentation

## User Insight Entry

**Insight**: [One clear statement about users]
Example: "Enterprise users are willing to pay 3x premium for compliance features"

**User Segment**: [Who this applies to]
- Company size: 100-1000 employees
- Industry: Fintech, Healthcare
- Role: Compliance Officer, Security Lead

**Evidence**:
1. User interview (5 interviews, June 2026): 80% mentioned compliance as top 3 requirement
2. Pricing comparison: Competitors charging 3x for HIPAA compliance
3. Support tickets: 40% mention compliance concerns

**Confidence**: [High / Medium / Low]
**Data Sources**: [Interviews / Support / Surveys / Observation]

**Implications**:
- Product: Add compliance module
- Pricing: Can charge premium for compliance tier
- GTM: Highlight compliance in enterprise sales

**Related Insights**:
- [Link to related user insight]

**Action Taken**: [If this drove a decision/action, document it]

Step 5: Build Research Timeline

Visualize research progress:

## Research Timeline

**Q1 2026**:
- Feb: Market size research (completed)
- Mar: Competitive analysis (completed)

**Q2 2026**:
- May: User interviews (in progress, 8/12 done)
- June: Pricing analysis (planned)

**Q3 2026**:
- Aug: Product-market fit study (planned)

Step 6: Create Query and Summary Views

Notion database views:

## Research Dashboard

**By Type**:
- Market Research: 12 projects (avg confidence: 8.2/10)
- Competitive Analysis: 8 projects (avg confidence: 7.5/10)
- User Research: 15 projects (avg confidence: 8.8/10)

**By Status**:
- Active: 8 projects
- Completed: 28 projects
- Archived: 5 projects

**High-Confidence Insights** (Confidence > 8):
- [Insight 1]: [Action taken]
- [Insight 2]: [Action taken]
- [Insight 3]: [Action taken]

**Recent Research** (Last 30 days):
- [Project 1]
- [Project 2]

Step 7: Maintenance and Archiving

## Research Lifecycle

**During Research**:
- Status: In Progress
- Update weekly with findings

**Completion**:
- Status: Completed
- Document final findings
- Create summary for team
- Link to any decisions made

**After 6 Months**:
- Review: Is this still relevant?
- If outdated: Archive with note on why
- If still relevant: Flag for refresh if needed

**Query for Insights**:
- Completed research < 1 year old: Review quarterly
- Outdated research: Flag for refresh before using

Output

Deliver:

1. Research Database (Notion structure)
2. Research Project Entries (documented findings)
3. Competitive Analysis (competitor tracking)
4. User Insights (segment insights)
5. Research Timeline (progress and planning)
6. Query Views (for discovery and insights)