Kontext analyzes scattered feedback, call transcripts and support conversations to distill structured understanding of how your users feel about your product.
Summaries flatten the signal. Deep context sharpens the decision.
AI can summarize your feedback in seconds. But a summary collapses every variation of a problem into one line, and all the texture washes out with it. Kontext does the opposite — it surfaces the distinctions across contexts, actors, and use cases so you can see how each facet shapes what to build, for whom, and what success looks like.
From raw feedback to informed decisions.
Bring in feedback from wherever it lives — GitHub, Slack, Intercom, Zoom, Grain, and more. We build new integrations on demand.
As feedback comes in from different actors and contexts, Kontext consolidates it into problems while preserving each perspective. The same problem builds up in richness with every new lens.
Every problem is a multi-dimensional view you can explore by segment, use case, or goal. Prioritize knowing that the context backs your decision.
From a single piece of feedback to the full picture.
Kontext highlights the exact quotes behind each detected problem, identifies who said it and in what context. Nothing gets lost in translation.
The same problem seen through every combination of actor and context. Each cell is a distinct perspective that shapes what the right solution looks like.
Feedback volume, problem depth, and feature impact at a glance. See which areas need attention and which are ready to act on.
We're working with a small group of product teams who want to go beyond summaries and truly understand the problems their users face.
No spam. We'll reach out when it's your turn.