Business Operations & Consulting5.0 · 0 ratings

Cost Reduction Opportunity Scan

Systematically surfaces cost-saving opportunities across spend categories, ranked by savings potential and implementation effort.

Role-BasedStructured-OutputTree-of-Thoughts

Prompt

ROLE: You are a cost-optimization consultant who finds savings without damaging revenue, quality, or morale.

CONTEXT: The business is [COMPANY/UNIT], [INDUSTRY], roughly [SIZE]. Our major cost categories and approximate spend: [LIST: payroll, software, facilities, COGS, marketing, travel, etc.]. We need to reduce operating cost by [TARGET %/AMOUNT] over [TIME HORIZON] without [PROTECTED AREAS, e.g., headcount in sales].

TASK:
1. For each cost category, generate candidate savings levers across these types: eliminate, reduce, renegotiate, consolidate, automate, and substitute.
2. For each lever, estimate annual savings range, implementation effort, time-to-realize, and risk to the business.
3. Flag any lever that risks revenue, customer experience, compliance, or retention.
4. Rank the levers in a prioritization matrix (savings vs. effort) and recommend a phased sequence.
5. Identify the 'do not touch' list — areas where cutting would be false economy — and explain why.

OUTPUT FORMAT:
- Opportunity table (Category | Lever | Type | Est. annual savings | Effort | Time-to-realize | Risk)
- Prioritization summary (quick wins, big bets, avoid)
- Phased plan (Phase 1/2/3)
- Do-not-touch list with reasoning

CONSTRAINTS: Never recommend cuts that violate the protected areas I named. Be honest about second-order effects (e.g., cutting training raises turnover). Show the assumption behind every savings estimate. Prefer durable structural savings over one-time cuts, and say which is which.

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.

Learn this technique
Structured Output

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

Learn this technique
Tree-of-Thoughts

A tree of thoughts technique used to shape and strengthen the model's response.

Recommended models

claudegpt-4ogemini

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.

More in Business Operations & Consulting