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See the third contact before your customer gives up.

Support agents see returning users with declining sentiment across multiple sessions. Flowlines surfaces those as signals, rolls them up into at-risk cohorts, and ties them back to the prompt version that started the drift.

01The problem

Support agents handle every ticket as if it were the first. Returning users with two prior escalations get the same welcome template as a free-tier sign-up. Sentiment declines across multiple sessions; nothing in the pipeline looks at the trajectory.

Per-call traces in Langfuse show that an agent ran. They don't show which users are about to churn, or which prompt version made it worse.

02What Flowlines surfaces

Signals from the registry fire on every ticket: user_frustration (re-prompting, negative sentiment), session_abandon (premature exit), low_quality_response (failed first-contact resolution), cost_escalation (runaway token spend on complex tickets).

Each signal stacks per user. The /users dashboard groups people into the standard buckets, happy, neutral, at-risk, churning , and shows you who's drifting in which direction.

03Cohorts and versions

Power Score = CSAT × Cadence. The users page surfaces the accounts contributing most signal volume relative to the cohort baseline. Cross-reference with the /versions page to see whether the drift started after a specific deploy.

Custom signals you can promote: e.g. “reopened within 48h on same issue category”, “thread reaches 3rd turn without resolution token”, “escalation never triggered for paid tier user”.

04How you connect it

Point Flowlines at Langfuse, OTEL, or JSON drop. First connect backfills 30 days. Workspace preset support turns on the right signal blocks by default, frustration, CSAT proxy, first-contact resolution, escalation detection.

See it on your own customer support traces.

Bring a sample of your sessions. In 30 minutes we'll show you the behaviors specific to your agent.

Book a demo