sm:invalidate-score

To score assumptions from customer interviews, process the interview accounts to assign each assumption a verdict of validated, invalidated, or open based on the evidence provided. This synthesis reveals pull and surfaces next steps.

A pull signal in customer research is an observed indicator of demand, categorized into types like lean-in, reach, referral, emotion, behavior, or time. Identifying these signals during assumption scoring highlights implications for your foundation.

To synthesize multiple invalidation interviews, input the combined accounts to evaluate each assumption across all conversations. This process detects overall pull signals, assigns per-assumption scores, and generates a foundation verdict with recommended next actions.

After scoring interview assumptions, review the structured verdict and recommended next actions. Depending on the evidence and pull signals, you should run further interviews, revise the assumption, or proceed to build the product.

Yes, you can analyze customer research notes to decide whether to proceed or re-test by synthesizing the accounts to reveal demand. The output provides a clear foundation verdict and recommended follow-ups based on detected pull signals.