13 terms we actually use — written from inside the work, not from a Wikipedia summary. No generic PM filler; just the words that matter for synthesizing feedback into roadmap decisions.
A single piece of feedback — a quote, complaint, request, or behavior — that reveals what a customer wants, struggles with, or values.
An interpretation of a theme — what the cluster of signals means, why it exists, and what should be done about it. The step that turns synthesis into a decision.
The software category that aggregates customer signal across every channel, synthesizes it into themes, and surfaces what to build next — the category Kiln sits in.
The ratio of actionable customer feedback to background chatter — the underlying problem that product intelligence tools exist to solve.
A cluster of related customer signals that share an underlying need or root cause, used as the unit of prioritization once raw feedback has been synthesized.
The aggregated qualitative and quantitative input from customers — what they say, what they ask for, and how they behave — used to inform product decisions.
A workshop technique for sorting many qualitative inputs into emergent groups by similarity — the analog ancestor of automated theme clustering.
A weekly cadence of customer touchpoints — interviews, signal review, theme triage — maintained by the product team to keep decisions tethered to real user behavior.
The practice of pulling customer input from every channel — support, sales, surveys, calls, in-app — into one synthesizable store, as the precursor to theme analysis.
The practice of returning to customers who reported a problem or requested a feature to tell them what was decided and why, closing the circuit between feedback and action.
A natural language processing technique that classifies a piece of text as positive, negative, or neutral — useful as a routing signal, dangerous as a verdict.
The step that turns a raw customer interaction — a transcript, a ticket, a sales call — into discrete signals. Done well, it dedupes and filters; done poorly, it duplicates noise.
The process of grouping raw customer signals into themes based on shared meaning, root cause, or required fix — the core action of a product intelligence tool.
Kiln synthesizes thousands of customer signals into themes your team can act on.
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