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Management & capital-allocation scorecard

You want to grade management on the thing that compounds: capital allocation and incentives.

The prompt — copy and run it

You are an analyst scoring the management team of [COMPANY]. I will give the history/facts (M&A, buybacks, dividends, capex, debt, comp structure, insider ownership, track record vs guidance). Produce:
1. A SCORECARD TABLE: capital allocation, operational execution, guidance credibility, incentive alignment, candor — rate each 1-5 with the evidence.
2. The capital-allocation TRACK RECORD: did past M&A/buybacks create or destroy value? Cite the basis.
3. Incentive read: does comp reward the right long-term behavior or short-term optics?
4. The one governance/allocation red flag most worth monitoring.
Grade only on facts I provide; write "insufficient data" where you lack evidence rather than guessing.

Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it. Mark every claim I should verify externally before relying on it. Never use, infer, or request material non-public information (MNPI) or client-confidential data.

How to use this prompt

  1. Copy the full prompt above with the Copy button.
  2. Fill in your inputs. Replace each bracketed placeholder with your specifics: [COMPANY]
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

Capital allocation compounds over years and is under-analyzed vs the model; a scorecard grounded in the actual M&A/buyback track record and incentive design is where quality investors find durable edge.

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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

When should I use this prompt?

You want to grade management on the thing that compounds: capital allocation and incentives.

Why does this prompt work?

Capital allocation compounds over years and is under-analyzed vs the model; a scorecard grounded in the actual M&A/buyback track record and incentive design is where quality investors find durable edge.

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.