Library/Deal Strategy & Stakeholder Management/Deal Planning & Opportunity Strategy/Optimize a Company's Cost Structure
TestedDeal Strategy & Stakeholder ManagementQuick Win (under 10 min)
About this prompt
This prompt analyzes a company's cost structure across major categories — COGS, sales and marketing, R&D, G&A — to identify inefficiencies, benchmark against industry norms, and recommend prioritized optimization strategies. Use it for cost structure reviews during planning cycles or when margins are under pressure.Cost structure optimization without a structured framework produces cuts that harm growth rather than improvements that sustain it — this prompt builds the framework. Provide your [cost data by category] and [business model context] and get an analysis covering: cost structure breakdown as a percentage of revenue compared to industry benchmarks, the categories with the highest efficiency gap versus benchmark, specific inefficiency patterns within each category, the strategic versus non-strategic cost distinction for prioritizing cuts, and a prioritized list of optimization recommendations with expected impact. Use this over a general financial planning prompt when you're doing a structured cost review rather than building a budget. Tip: the strategic versus non-strategic cost distinction is the most important analytical frame — cutting costs that directly enable customer acquisition or retention to improve margin is the most common mistake in undisciplined cost reduction programs.The prompt
Evaluate the cost structure of [Company Name] and offer recommendations for optimizing costs while maintaining value for customers.
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Variables to replace
COMPANY NAME
How to run it
- Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
- Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
- Make it yours — run it, keep what's strong, and tighten your inputs on the next pass. The prompt improves with your context.
What good output looks like
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