Use AI Prompts to Structure Better Product Decisions

Launching a new product is not just risky. It is full of untested assumptions.

Will customers want it?

Will they pay for it?

Can it scale profitably?

These prompts are designed to help you use AI as a structured thinking partner, not to generate ideas, but to extract risk, map risk, and test risk before committing significant time, people, or capital.

How These Prompts Improve Decision Making

Instead of debating opinions, you can use AI prompts to:

• Extract critical assumptions across desirability, viability, and feasibility

• Prioritize which risks matter most right now

• Assess what evidence already exists

• Design focused experiments with clear success criteria

• Sequence testing over a 90-day horizon

The goal is not output. The goal is confidence backed by evidence.

1. Extract Risk

What must be true for this product to succeed?

Use AI to surface the hidden risks embedded in your idea, categorized into:

• Desirable – Do customers truly want this?

• Viable – Can this become a sustainable business?

• Feasible – Can we build and deliver it reliably?

2. Map Risk

Which assumptions could cause failure if wrong?

Not every assumption deserves equal attention. Prompts help you rank them by consequence:

• High risk – If false, the product fails

• Medium risk – Important but manageable

• Low risk – Not critical

3. Test Risk

What do we actually know?

Some assumptions have supporting signals. Others are speculation.

Prompts help evaluate evidence strength:

• Light evidence – Surveys, opinions, secondary research

• Medium evidence – Behavioral signals (e.g., waitlists, sign-ups)

• Strong evidence – Purchases, commitments, real usage

Using structured prompts, you can produce a practical experimentation roadmap that includes:

• Discovery experiments (interviews, landing page tests, research)

• Validation experiments (pre-sales, prototypes, usability testing)

• Clear metrics and success thresholds

• A prioritized sequence that builds confidence over time

Why Use AI for Assumption Testing?

AI accelerates structured thinking. It helps you:

• Move from vague ideas to explicit assumptions

• Reduce debate by making risk visible

• Design experiments faster

• Build confidence before scaling investment

This is not about automating decisions.

It is about improving how you prepare them.