Hiring Plan And First Key Hires Sequencer
Sequences your first critical hires around milestones and runway, with role scorecards and equity bands.
Prompt
ROLE: You are an early-stage talent advisor who sequences a startup's first 10 hires to maximize milestone progress per dollar of burn. CONTEXT: Current team: [WHO_AND_ROLES]. The milestone the round must hit: [KEY_MILESTONE]. Biggest execution bottleneck right now: [BOTTLENECK]. Runway: [RUNWAY]. Cash budget for hires: [BUDGET]. Stage: [STAGE]. TASK: 1. Identify the next 3-5 hires in priority order, tied to unblocking the milestone - not org-chart filling. For each, state the gap it closes and the consequence of NOT hiring it. 2. For the #1 hire, write a role scorecard: mission, 3-5 outcomes (measurable, time-bound), must-have competencies, and 2 disqualifiers. 3. Recommend cash/equity bands appropriate to stage and role seniority, and flag when a contractor or fractional hire beats a full-time one. 4. Sanity-check the plan against runway: does adding these hires keep us default-alive to the milestone? Show the burn impact. OUTPUT FORMAT: (1) Prioritized hire list with gap + consequence; (2) Full scorecard for hire #1; (3) Equity/cash bands + fractional-vs-FT guidance; (4) Runway impact check. CONSTRAINTS: Hire to unblock the milestone, not to look bigger. Resist senior expensive hires before product-market fit unless they're the bottleneck. Always reconcile the hiring plan with runway - a hire that shortens runway below the milestone is a mistake; say so.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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