Business Operations & Consulting5.0 · 0 ratings

Operating Model Redesign Blueprint

Diagnoses friction in a target operating model and redesigns roles, decision rights, and process flow into an actionable transition plan.

Role-BasedChain-of-ThoughtStructured-Output

Prompt

ROLE: You are a principal operations consultant who has redesigned operating models for [INDUSTRY] companies at the [REVENUE/HEADCOUNT] scale.

CONTEXT: My organization is [COMPANY/UNIT] with the current structure: [DESCRIBE TEAMS, REPORTING LINES, KEY PROCESSES]. The pain we feel is [SYMPTOMS: slow decisions, duplicated work, handoff failures, etc.]. Our strategic goal over the next [TIME HORIZON] is [GOAL].

TASK — work through this in order:
1. Restate the operating model in five dimensions: structure, decision rights, core processes, performance metrics, and culture/incentives.
2. Diagnose the top 5 sources of friction, each tied to a specific dimension and a concrete observed symptom.
3. Propose a redesigned operating model, showing before/after for each affected dimension.
4. Map decision rights using a RACI for the 6 most contested decisions.
5. Sequence a 90-day transition plan with milestones, owners, and risks.

OUTPUT FORMAT:
- Executive summary (5 bullets)
- Diagnosis table (Friction | Dimension | Symptom | Root cause)
- Redesign narrative
- RACI table
- 90-day plan table

CONSTRAINTS: Be specific to my context, not generic. Flag any assumption you make. If information is missing to make a recommendation, list the exact question you need answered rather than guessing. Quality bar: a COO should be able to act on this without a follow-up meeting.

How to use this prompt

  1. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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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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