/Catalogue/Prompt/cbrock84/cbrock84-headcount-scenario-planning

Origin: github

scenario-planning

Plans under genuine uncertainty — building scenarios, identifying which assumptions are load-bearing, setting early-warning indicators, and stress-testing a plan against futures rather than forecasting one. Use this when a decision depends on something unknowable, when a plan assumes conditions that may not hold, before a large irreversible commitment, or when a market, regulatory, or technology shift could invalidate the strategy.

by cbrock84 · updated 7d ago · imported from GitHub

Installs0+0/7d
Security score100/100
Retention 14d0%
GitHub stars1.7K

Skill logic

Execution graph
User message
Prompt rewrites behaviour
Response

SKILL.md

View on GitHub ↗

Scenario planning

Forecasting produces one number and false confidence. Scenario planning produces a plan that survives being wrong, which is the realistic goal.

Separate what you know from what you are assuming

List the plan's assumptions explicitly, then sort them:

  • Predetermined — things that will happen regardless. Demographics, contracted commitments, technology already deployed. Plan around them; do not spend analysis on them.
  • Genuinely uncertain and load-bearing — the plan changes materially depending on how they resolve.

Almost every plan has two or three load-bearing uncertainties. Finding them is most of the value, and the exercise usually surfaces one nobody had articulated.

Build scenarios from the uncertainties, not from moods

The common failure is three scenarios named optimistic, base, and pessimistic — which is one scenario with the numbers scaled, and it teaches nothing.

Take the two most consequential uncertainties and build the quadrants. Each scenario should be internally coherent: if demand is high and supply is constrained, what else follows — pricing, competitor behavior, regulatory attention?

Give each a name that captures its logic. Names make scenarios usable in conversation, which is where they earn their keep.

Three or four scenarios. More cannot be held in mind; two collapses into best and worst.

Stress-test the plan against each

For every scenario: does the plan still work, what breaks first, and what would we wish we had done sooner?

The output is not a prediction. It is three things:

  • Robust moves — sensible in every scenario. Do these now, with confidence.
  • Contingent moves — right in some scenarios only. Prepare, do not commit.
  • Options — small investments that buy the right to act later. Deliberately underrated, because they look like indecision and are actually the cheapest way to handle uncertainty.

Early-warning indicators

For each scenario, name the observable signal that would show it is arriving — and specify it precisely enough to be checked. "Regulatory pressure increases" is not observable. "A second jurisdiction opens a consultation" is.

Assign each indicator an owner and a review cadence. Scenario work that produces no monitoring is a workshop, not a plan.

Revisit on the trigger, not the calendar

Most scenario planning is done once and filed. Its value comes from being revisited when an indicator fires — that is the moment the earlier thinking pays, because the options were identified before anyone was under pressure.

Never

  • Assign probabilities to scenarios and then plan only for the likeliest. That is forecasting with extra steps.
  • Build a scenario nobody in the room believes possible. It will be ignored, and the exercise loses credibility.
  • Let the exercise end without naming what to do on Monday in every scenario.

Discussion

No comments yet — start the thread.

Sign in to join the discussion.

/More from cbrock84/headcount

cbrock84· 7d agoCommunity
chief-strategy-officer

Prompts · Markdown · v0.1.0

Owns where the business plays and how it wins over a multi-year horizon — portfolio choices, corporate development, strategic partnerships, and planning under uncertainty. Use this for a decision about which markets or businesses to be in, whether to build, buy, or partner, how to allocate capital across business lines, or when a long-horizon bet needs framing. Distinct from `chief-executive`, which arbitrates present-quarter conflicts.

#agent-marketplace#chatgpt-plugin#chatgpt-skills

0 1.7K
cbrock84· 7d agoCommunity
market-entry

Prompts · Markdown · v0.1.0

Decides whether and how to enter a new market — sizing demand from the bottom up rather than from a market report, testing whether your advantage transfers, choosing between organic entry, partnership and acquisition, sequencing the operational and regulatory work that entry actually requires, and setting the criteria that would tell you to stop. Use this to evaluate a new geography, segment or vertical, pressure-test an entry plan, or work out why a launched market never reached scale.

#agent-marketplace#chatgpt-plugin#chatgpt-skills

0 1.7K
cbrock84· 7d agoCommunity
mergers-and-acquisitions

Prompts · Markdown · v0.1.0

Runs corporate development — deal thesis, target screening, valuation framing, diligence, and integration planning. Use this when considering an acquisition or being approached about one, when evaluating build-versus-buy at company scale, when running or reviewing diligence, or when planning how an acquired business will actually be integrated.

#agent-marketplace#chatgpt-plugin#chatgpt-skills

0 1.7K
cbrock84· 7d agoCommunity
portfolio-strategy

Prompts · Markdown · v0.1.0

Decides where capital and attention go across business lines, products, and markets — what to fund, hold, harvest, or exit, and on what evidence. Use this to allocate budget across businesses, evaluate whether a product line should continue, decide whether to exit one, structure a portfolio review, or when several initiatives compete for the same limited investment.

#agent-marketplace#chatgpt-plugin#chatgpt-skills

0 1.7K