a 90-second tour
one workspace. every investigation.
no maze of dashboards. pick a scope, pick a breakdown, find the friction. the same surface handles a morning briefing, a deep replay, and a real-time rescue.
01 · the morning briefing
know what broke while you slept.
not a wall of charts. an actionable briefing. ai-generated insights, top friction signals, at-risk users, and trending intents, surfaced before your first standup.
CRITICAL INSIGHT
"enterprise users abandon 3x more than free users on the billing_upgrade intent."
TOP FRICTION
142
Tool Call Failures
AT RISK
12
High-LTV Users
02 · conversations
search by meaning. replay with markers.
millions of sessions queryable in milliseconds. every replay has friction markers on the timeline, skip straight to the turn where sentiment dropped.
USER
"no, i asked you to cancel the reservation, not modify it! why is this so hard?"
AGENT
"i'm sorry for the confusion. i have modified your reservation."
03 · people
the user, as a story, not a row.
analytics tools group users by id and property. we write a narrative summary of every relationship. one paragraph tells you what's happening with them, why, and what to do.
sarah connor
Enterprise AdminUSER CONTEXT HUB
"sarah has been attempting to configure the slack integration for 3 days. she has encountered a loop 4 times when the agent fails to fetch the workspace tokens. her overall sentiment is severely declining."
22
HEALTH SCORE
High
CHURN RISK
04 · explore
three filters. your next sprint's backlog.
"which intents do enterprise users fail on most?" set scope to Enterprise, breakdown by Intent, filter by Friction Detected. you get a prioritized list of what to fix, without writing a single query.
05 · signals
a friction taxonomy, applied on every turn.
not just raw errors. a proprietary taxonomy of failure modes, auto-tagged on ingestion, queryable in seconds, alertable when they spike.
Agent Loop
The agent repeats the same question or action multiple times without progressing the user's intent.
Frustration Detected
The user's sentiment sharply declines based on linguistic cues (e.g., ALL CAPS, swearing, "human please").
Goal Abandonment
The user stops responding or closes the session before the identified intent reaches a resolution state.
06 · monitors & alerts
catch them before the ticket.
monitor any signal, keyword, intent, tool failure, sentiment drop, single user. route the alert to slack, email, or webhook. cs intervenes while the user is still online.
Abracadabra Bot 11:42 AM
🚨 High-LTV Friction Detected
User: sarah.connor@cyberdyne.com
Signal: Loop Detected (4x)
Intent: upgrade_billing
View Conversation Replay →stop flying blind.
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