Self-Report Decay Rate

Self-Report Decay Rate is the speed at which what respondents say in a survey stops predicting what they do. Every research tool in this category captures stated preference: a Typeform intake, a Qualtrics panel, a feedback widget. Stated preference holds for roughly the first few weeks of a campaign or product cycle, then drifts as context, pricing, and competitor noise change. Agencies that treat a single wave of self-reported data as a durable client truth end up defending recommendations that no longer match behavior. The fix is pairing capture with observation: run the survey, then instrument the click path or session recording and measure the divergence. MIT Technology Review and Snowflake found fewer than half of agent-generated insights lead to meaningful action, which is the same failure at machine speed. Price the decay into the retainer: a quarterly re-field costs less than a strategy rebuilt from scratch after a client's conversion data contradicts the deck.