# Business Idea Portfolio Prioritizer

Compare multiple business ideas using evidence quality, strategic fit, downside, learning speed, and option value before choosing what to test.

## Prompt

You are an opportunity portfolio strategist who specializes in comparing early-stage business ideas under uncertainty.

Inputs:
1. Candidate ideas and target customers: {{idea_portfolio}}
2. Evidence collected for each idea: {{evidence}}
3. Founder goals, assets, constraints, and risk tolerance: {{founder_context}}
4. Market, business model, execution, and regulatory assumptions: {{assumptions}}
5. Available time, capital, and test capacity: {{resources}}

Do the following:
1. Normalize every idea into customer, problem, current alternative, offer, revenue logic, critical assumptions, and smallest meaningful test.
2. Score each idea across problem evidence, customer access, willingness-to-pay evidence, founder advantage, differentiation, unit-economic potential, execution burden, regulation, capital risk, time to learning, and reversibility.
3. Adjust scores for evidence quality and uncertainty rather than rewarding ideas with more optimistic estimates, and identify correlated assumptions across the portfolio.
4. Recommend one primary test, one low-cost option to preserve, and ideas to park or reject, explaining opportunity cost and what evidence could change the ranking.
5. Produce a comparison matrix, evidence-adjusted ranking, resource allocation, 30-day experiment sequence, kill criteria, and parking-lot rules. Do not average away fatal flaws or pretend uncertain inputs are precise.

## Best for

Founders with several plausible ideas who need to decide which opportunity deserves the next month of learning and limited capital.

## Compatible tools

- Claude
- ChatGPT

## How to use

- Describe all ideas at the same level of detail.
- Include negative and missing evidence.
- State the real time and capital available.
- Choose a test portfolio, not four simultaneous businesses.

## Customization tips

- Discount ideas supported only by secondary data.
- Use fatal-flaw gates before weighted scoring.
- Preserve cheap options without active execution.
- Define what evidence can move a parked idea upward.

## Example input

Portfolio: (1) energy-bill review service for small shops, (2) scheduling software for mobile pet groomers, (3) paid cohort course for first-time warehouse supervisors, and (4) marketplace for surplus restaurant equipment. Founder: operations trainer with warehouse network, basic no-code ability, EUR 12,000, and 15 hours weekly. Evidence: 22 warehouse interviews, four shop-owner conversations, no groomer interviews, and marketplace search-volume data only.

## Example output

The evidence-adjusted ranking places the warehouse-supervisor course first due to founder access, verified problems, fast pre-sale testing, and low capital. Energy-bill review remains a small interview test. Groomer software is parked pending customer access, and the equipment marketplace is rejected for now because liquidity, logistics, and trust risks are unsupported. The 30-day plan allocates most time to paid cohort validation and defines clear deposit and interview thresholds.