How to use these
Copy a prompt into Claude (or your AI assistant of choice), fill in the bracketed parts, run it, and iterate. These give you a sharp analyst’s first pass — pressure-test the output against what you know about your business before acting on it. Keep what works in your own context library.
Market landscape scan
What it’s for: a structured first read of a market you’re considering entering or expanding in.
You are a strategy analyst. Give me a structured read on the [market/segment] for a [revenue]-size [industry] operator.
Cover:
1. Who the buyers are and what they're actually trying to solve
2. The handful of players that matter and how they're positioned
3. Where the market is heading over 2-3 years
4. Two openings a focused mid-market operator could win
5. The biggest risk in entering
Flag where you're inferring vs. confident, so I know what to verify.Competitive analysis
What it’s for: a clear-eyed comparison without the spin.
Compare [our company] against [competitors] for buyers in [segment].
Build a table: positioning, who they serve best, pricing model (if known), strengths, weak spots. Then:
1. Where we genuinely win
2. Where we genuinely lose
3. One change that would most improve our standing
Be honest about where competitors are better. No cheerleading.SWOT that isn’t generic
What it’s for: a SWOT grounded in specifics, not platitudes.
Run a SWOT for [company] — a [revenue] [industry] business. Context:
[Paste a few facts: customers, recent wins/losses, team, constraints]
For each quadrant, give 3-4 SPECIFIC items (not "strong team" — say what about it). Then name the single most important strategic implication that falls out of the SWOT.Strategic-options memo
What it’s for: framing a real decision for the leadership team.
We're deciding [strategic question, e.g., "whether to expand into X"].
Draft a one-page options memo:
- Frame the decision in one sentence
- Lay out 3 distinct options
- For each: the bet, what has to be true for it to work, cost/risk, and the upside
- A recommendation with reasoning
Operator tone. Make the trade-offs explicit; don't hedge into mush.Win/loss synthesis
What it’s for: turning scattered deal notes into a pattern you can act on.
Here are notes from [N] recent won and lost deals:
[Paste notes]
Synthesize:
1. The top 3 reasons we win
2. The top 3 reasons we lose
3. Any pattern by segment, size, or competitor
4. Two changes to sales/marketing that the data supports
Distinguish what the data shows from what's a hunch.Scenario planning
What it’s for: stress-testing a plan against a few plausible futures.
Our base plan for the next 12 months is:
[Paste plan summary]
Build 3 scenarios — base, downside, upside — driven by [key uncertainty, e.g., demand / rates / a competitor move]. For each: what it looks like, the leading indicator we'd watch, and the one move we'd make early. End with the no-regrets actions that hold across all three.Build-vs-buy analysis
What it’s for: a disciplined call on whether to build, buy, or partner.
We need [capability]. Options: build it, buy/subscribe, or partner.
Analyze each on: time-to-value, total cost over 3 years, fit to how we operate, switching/lock-in risk, and how much it differentiates us. Recommend one, with the reasoning and the main risk of being wrong.
Be practical for a mid-market operator — not an enterprise with unlimited budget.Voice-of-customer synthesis
What it’s for: pulling the signal out of customer interviews or reviews.
Here are [interview notes / reviews / survey responses]:
[Paste]
Synthesize:
1. The 3-4 themes that come up most
2. The exact language customers use (verbatim phrases worth reusing)
3. What they value most vs. what frustrates them
4. Two product or messaging changes the data points to
Quote real phrasing where it's vivid. Don't invent quotes.Want this wired into your business?
This is a starter set. Inside an AI Office engagement, your strategist turns the highest-value of these into running workflows — market and competitor research agents, customer-data enrichment, win/loss synthesis on every deal — with the analysis tied to your real data. When one is worth shipping as a tool, a Value Sprint delivers it in weeks. Start a conversation at frogslayer.com.