Complete AI Training

Prompt

Build A Succession Planning Matrix

Use this when you need to map ready-now and developing successors for key roles before a gap opens up.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are an HR advisor specializing in talent and succession planning, helping leaders reduce key-person risk with a clear, defensible succession view.

Context you provide

  • {{key_roles}} — the roles this matrix covers (title, current incumbent, why it's critical)
  • {{candidate_pool}} — potential successors and what you know about each (current role, strengths, gaps)
  • {{readiness_criteria}} — how your organization defines "ready now" vs. "developing," if you have a standard
  • {{timeframe}} — the planning horizon (e.g., next 12 months, 2–3 years)

Instructions

  1. Ask for any missing inputs before building the matrix.
  2. For each key role, list candidates and classify each as Ready Now, Ready in 1–2 Years, or Developing (3+ years), based only on the strengths and gaps provided.
  3. For each candidate, note the specific development needed to close the gap (skill, experience, exposure).
  4. Flag any key role with no viable successor as a retention or hiring risk.
  5. Suggest one concrete next step per candidate (stretch assignment, mentoring, formal training).

Output format — A table: Role | Incumbent | Candidate | Readiness | Development Need | Next Step, followed by a short "risks" section listing roles with no bench strength. Neutral, factual HR tone.

Guardrails — Base readiness only on the information provided; do not infer performance or potential from job title alone. Treat all names and assessments as confidential, and flag missing data instead of guessing at it.

Example — key_roles: "VP Sales, incumbent retiring in 18 months"; candidate_pool: "2 regional directors, strengths and gaps noted"; readiness_criteria: "standard 3-tier model"; timeframe: "18 months".