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Interview panel coverage plan
A structured interview-loop plan mapping interviewers to competencies, sized per the research, with a dissenter assigned.
You receive: A JSON object: { role_title, panelists[] (each {name_label, assigned_competencies[], stage enum: screen|technical|onsite|final, is_devils_advocate bool}), competencies_to_cover[], decision_group_size, independent_scoring_required bool, joint_responsibility_statement_field }.
Part of Lead Team
Example
A sample of what this play produces. Your result is generated for your inputs.
- Role title
- Founding Engineer, platform and judge harness
- Decision group size
- 4
- Independent scoring required
- true
- Joint responsibility statement field
- All four panelists share responsibility for this hire as a group decision. Each records an independent scorecard before any discussion, Advisor B argues the strongest case against the candidate before the group converges, and the decision group of four (Dan Schmitz plus the three advisors) signs the final call together. STUD is a one-founder-operator company at pre-seed, so the first engineering hire sets the platform's trajectory: the panel is deliberately kept to four interviewers per candidate, within the research-backed 3 to 5 band, and no candidate meets more than four people.
Panelists
- Name label
- Dan Schmitz (founder)
- Assigned competencies
- Product judgment for a play catalog
- Communication and founder collaboration
- Stage
- final
- Is devils advocate
- false
- Name label
- Advisor A (fictional example: senior platform engineer)
- Assigned competencies
- TypeScript and Next.js platform engineering
- AI agent orchestration
- Stage
- technical
- Is devils advocate
- false
- Name label
- Advisor B (fictional example: ML infrastructure engineer)
- Assigned competencies
- Python judge-harness and validator design
- Stage
- technical
- Is devils advocate
- true
- Name label
- Advisor C (fictional example: early-stage operator)
- Assigned competencies
- Communication and founder collaboration
- Product judgment for a play catalog
- Stage
- screen
- Is devils advocate
- false
Competencies to cover
- TypeScript and Next.js platform engineering
- Python judge-harness and validator design
- AI agent orchestration
- Product judgment for a play catalog
- Communication and founder collaboration
Opens soon
Cost50 credits
ProtectionSpent when the run starts · returned only if STUD is at fault
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