Clean Interviews
Processes user interviews in ~/obsidian/Research/User interviews/, standardizes their format, adds tags, and aggregates insights into the research dashboard.
When to Use
- •After conducting user interviews
- •When interview files need standardization
- •To aggregate interview insights across projects
- •When preparing interview data for analysis
Workflow
1. Scan Interview Files
Find all interview files:
find ~/obsidian/Research/User\ interviews -name "*.md" -type f
Note the directory structure - interviews are organized by project (e.g., Project-A/, Project-B/).
2. Read Current Dashboard
cat ~/obsidian/research-dashboard.md
Check if "User Interview Insights" section exists.
3. Process Each Interview File
For each interview file:
a) Read the file to understand current content b) Add YAML frontmatter if missing:
--- tags: - interview - [project-name] interviewee: Name date: YYYY-MM-DD project: Project Name signal: strong | moderate | weak action-items: - "Intro to [Contact] at [Company]" - "Follow up on [specific topic]" ---
Note: action-items is optional - only include if there are genuinely important actions from this interview. See "Action Item Criteria" section below.
c) Restructure content into standard sections:
## Summary One-paragraph synthesis of the interview ## Key Insights - Bullet points of main takeaways ## Pain Points - Problems the interviewee faces ## Quotes > Direct quotes worth preserving ## Follow-ups - Action items or questions for next time
d) Preserve original content - reorganize, don't delete
4. Determine Signal Strength
Apply these criteria:
Strong Signal:
- •Explicit willingness/commitment ("I would definitely use this")
- •Quantified usage metrics specific to their domain
- •Current paid solution they would switch from
- •Specific problems that match our solution
Moderate Signal:
- •Interest expressed but conditional
- •Some relevant problems, some not
- •Unclear on willingness to pay or switch
- •General positive sentiment without commitment
Weak Signal:
- •Polite interest but no clear need
- •Problems do not align with our solution
- •Low usage/engagement in relevant areas
- •Blockers (jurisdiction, technical, organizational)
5. Archive Dashboard (if updating)
If dashboard will be updated, run archive first:
bash ~/.claude/scripts/archive-dashboard.sh
6. Aggregate Interview Insights
Count interviews by:
- •Project (directory name)
- •Signal strength
Summarize key takeaways per project.
7. Update Research Dashboard
Add or update "User Interview Insights" section after "Latest Research Documents":
## User Interview Insights **Total Interviews:** X | **Strong:** Y | **Moderate:** Z | **Weak:** W ### By Project - **Project-A:** X interviews - [key aggregated takeaway] - **Project-B:** X interviews - [key aggregated takeaway] ### Recent Interviews - [[Research/User interviews/Project-A/Jane Doe|Jane Doe]] - Strong, target user interested in product
8. Verify
- •All interview files have YAML frontmatter
- •All files have standard sections
- •Dashboard has interview insights section
- •Tags work in Obsidian (#interview)
Interview Template
When processing interviews, structure them as:
--- tags: - interview - project-a interviewee: Jane Doe date: 2026-01-15 project: Project-A signal: strong --- ## Summary One-paragraph synthesis capturing who they are, what they need, and key signals. ## Key Insights - Insight 1 - Insight 2 ## Pain Points - Pain point 1 - Pain point 2 ## Quotes > "Direct quote that captures something important" ## Follow-ups - Action item or question
Action Item Criteria
Action items in frontmatter are for genuinely important tasks that should surface on the daily dashboard. Most interviews won't have any.
Include (Important - Surface to Dashboard)
- •Introductions: "Can intro to [Person] at [Company]" - warm intros are high-value
- •Follow-up calls/meetings: Scheduled or promised follow-ups with the interviewee
- •Partner/vendor investigation: Specific companies or tools mentioned worth investigating
- •Critical product decisions: Feature requests that came with strong signal and affect architecture
- •Urgent blockers: Regulatory, legal, or technical issues that need immediate attention
Exclude (Keep in Follow-ups Section Only)
- •General "look into X" observations
- •Minor UX suggestions
- •Feature ideas without strong signal
- •Vague "might be interesting" items
- •Things already on the roadmap
- •Research that's nice-to-have, not blocking
Examples
Include:
action-items: - "Intro to [Partner] (via [Contact]) - partner opportunity" - "Investigate [Vendor] integration for risk management" - "Follow-up call with [Contact] re: [Feature] threshold feature"
Don't Include:
- •"Think about rewards structure" (too vague)
- •"Consider better FX handling" (product backlog, not action item)
- •"Research stETH safety" (general research, not urgent)
Rule of Thumb
Ask: "Would I forget this and regret it?" If yes, it's an action item. If it's just useful context, leave it in the Follow-ups section only.
Signal Tagging Guidelines
Strong
- •Explicit "I would use this" or "I would pay for this"
- •Currently using competitors and unhappy
- •Quantified spending patterns (monthly card spend, holdings)
- •Clear problem-solution fit
Moderate
- •"This sounds interesting" without commitment
- •Some problems align, others don't
- •Unclear on pricing sensitivity
- •Would need to see it working first
Weak
- •Polite but non-committal
- •Problems don't match solution
- •Jurisdiction/regulatory blockers
- •Low target market fit (small spender, no crypto holdings)
Important Notes
- •Preserve original content - restructure, don't delete information
- •Be conservative with signal strength - default to moderate if unclear
- •Use project directory name as the project tag (lowercase)
- •Date format: YYYY-MM-DD (ISO 8601)
- •Link format: Obsidian wikilinks with display text
Paths Reference
- •Interview root:
~/obsidian/Research/User interviews/ - •Dashboard:
~/obsidian/research-dashboard.md - •Archive script:
~/.claude/scripts/archive-dashboard.sh
Note: Paths can be customized in ~/.claude/config/paths.env