Harvest insight from forums, in-product prompts, support tickets, sales calls, social threads, and user councils. Balance breadth and depth by combining passive listening with deliberate interviews. Protect against loud-minority bias using stratified sampling, and document contextual metadata so every quote, metric, and anecdote can be audited, compared, and ultimately trusted by stakeholders.
Define tags for jobs-to-be-done, value drivers, friction points, buyer roles, and willingness-to-pay clues. Standardize how teams mark sentiments and outcomes so engineering, product, finance, and marketing read the same evidence the same way. A unified language prevents misinterpretation and accelerates the moment insights become actionable hypotheses about packaging boundaries and price signals.