Deep interview process to transform vague ideas into detailed specs. Works for technical and non-technical users.
49
23%
Does it follow best practices?
Impact
96%
1.23xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./.claude/skills/discovery-interview/SKILL.mdSpec format and output location
Correct spec directory
0%
0%
Date-prefixed filename
100%
100%
Executive Summary section
60%
100%
Problem Statement section
40%
100%
Success Criteria section
100%
100%
User Personas section
40%
100%
User Journey section
20%
100%
P0/P1/P2 Functional Requirements
0%
100%
Data Model subsection
100%
100%
Security Model subsection
100%
100%
Non-Functional Requirements section
100%
100%
Out of Scope section
100%
100%
Appendix: Research Findings section
0%
100%
Open Questions section
0%
100%
Technology research loop and conflict resolution
Appendix: Research Findings exists
66%
100%
Multiple real-time options researched
100%
100%
Tradeoffs documented
100%
100%
Conflict identified
100%
100%
Reasoned technology recommendation
100%
100%
Scale conflict resolution
100%
100%
System Components section
100%
100%
Non-Functional Requirements with numbers
100%
100%
Security Model defined
100%
100%
Open Questions section
25%
100%
Completeness check and category coverage
Security Model with auth approach
100%
100%
Access control / authorization defined
100%
100%
Scale requirements with numbers
100%
100%
Deployment approach specified
100%
100%
Integrations section with Shopify detail
100%
100%
Success Criteria are measurable
37%
100%
User Personas with technical level
62%
100%
No TBD in core sections
100%
100%
Out of Scope explicitly defined
100%
100%
Data Model section present
100%
100%
Discovery notes show category coverage
100%
100%
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Table of Contents
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