This page collects questions you can use to pressure-test your GenAI product approach.

1) Defining quality and evaluation

1.1 How do you evaluate the accuracy and relevance of GenAI outputs?

Evaluation depends on the use case. Define what “good quality” means in your context, then derive metrics that reflect it.

2) Bias and safeguards

2.1 How do you fight biases in GenAI models?

Use guardrails where needed, and treat human oversight as essential for sensitive decisions.

3) Scaling human review

3.1 How can you scale “human in the loop”?

It may evolve toward semi-supervised systems, but the right answer depends on risk, compliance, and the cost of mistakes.

4) Where to start

4.1 Should you identify a use case before implementing GenAI?

Start with a real problem, but also create space for exploration so teams learn what the technology can and cannot do.

Product reflection questions

Use these questions as a short checklist:

• Do you have a roadmap from prototype to beta to full version?
• Do you have defined guardrails?
• Do you have a systematic evaluation approach?
• Do you monitor performance over time?