Questions Your AI SaaS Interviews Should Answer Before Shipping

If you cannot answer these questions confidently after your interview round, you are not ready to ship an AI SaaS product. Every "I do not know" below is a reason to do more interviews, not to start training.

Who Specifically Has the Workflow

Not "knowledge workers." Not "teams that use AI." A specific role, in a specific kind of organization, with a specific recent behavior. Two-axis filter. If your answer needs more than two sentences, the audience is too vague.

What Is the Trigger Event

What specific moment in their workflow does the AI capability serve? Without a trigger, you cannot reach the user at the moment they need it.

Where Is the Trust Boundary

AI-SaaS-specific. Where in this workflow does the customer trust AI output? Where does human review remain non-negotiable? Why there?

If you cannot answer this in two sentences, you have not done enough interviews. Crossing the boundary kills adoption.

What Failed When They Tried Existing AI Tools

Specific failure modes. Hallucinated content. Wrong citation. Confidently incorrect summary. Missing the indemnification clause. Generic copy without brand context. Whatever the customer named.

Your product has to address those failure modes. If you cannot list them, the round was not specific enough.

What Are They Currently Spending

On the workflow today. Hours, contractor invoices, existing tool subscriptions, employee time. Quantified. The number anchors your pricing.

Have You Heard the Same Trust Boundary Five Times

If yes, signal. If no, anecdotes. AI SaaS markets are noisy enough that you need at least five matching trust-boundary descriptions before betting engineering time.

What AI Vocabulary Did They Use

Hallucinated. Cooked. Made up. Sounded confident but was wrong. The exact phrases. Without these you have generic copy.

Do You Have Fifteen People Who Would Try It

Not who said "sounds cool." Fifteen who gave you their email when you asked if they would try the beta. Without them you launch to strangers, which AI SaaS products rarely survive.

What Compliance Constraints Exist

For B2B AI SaaS specifically. Can the customer's data leave their systems? Are there retention requirements? On-prem requirements? Specific certifications required?

These are often the actual product spec hiding behind "procurement." If you cannot answer, you have not asked.

What Is the Smallest Useful Slice

Given everything above, what is the narrowest possible AI capability that solves the trigger event, respects the trust boundary, addresses the failure modes, and fits the compliance constraints? In one sentence.

If You Cannot Answer One

Do five more interviews focused on the question that stumped you. Do not ship yet. AI SaaS products that miss any of the above usually fail at launch.