capabilities

everything your dashboards can't see.

search by meaning. detect frustration without keywords. score user health. trace root causes. replay any conversation. no engineering required.

SEARCH SENTIMENT FRICTION JOURNEY

conversation replay

see exactly where the conversation broke.

scrub to any turn. friction markers show exactly where sentiment dropped, where the agent looped, where the user gave up, before you ever read the full transcript.

  • friction markers pinned on the turn timeline
  • jump to the exact turn where sentiment collapsed
  • share annotated replays with cs, full context included
session 7 of 12 · 09:14–09:17
"why did my export fail again?"
turn 1 · intent: export
agent: generic troubleshooting
turn 2 · resolved: no
"you said that last time."
frustration ↑
loop × 3 · sentiment −0.42
alert · loop detected
agent: "you're absolutely right…" (no action)
deflection detected

02, sentiment detection

scored turn by turn, not just at the end.

see the exact moment frustration started, not just that it happened. each turn carries a sentiment score, and the timeline marks the inflection.

one bad conversation is noise. a declining trend across three weeks is a signal worth acting on, and we surface it before it becomes a ticket.

03, friction detection

users don't say "i'm frustrated." we catch it anyway.

repeated questions. rephrased messages. failed tool calls. circular loops. sudden sentiment drops. all flagged on ingestion, before a human ever has to look.

"how do i upgrade my team plan?"
"you can upgrade from settings."
"i don't see that option in settings"
FRICTION: REPEATED QUESTION × 2
"can you just send me a link to upgrade?"

HIGH FRICTION · INTENT NOT RESOLVED

04, user journey stitching

one conversation is noise. fifty tell the truth.

every conversation from the same user, stitched into a single timeline. watch satisfaction drift over months. find the exact session where trust started to erode.

JAN

positive

FEB

positive

MAR

neutral

APR

declining

ACT NOW

MAY

at risk

user health scores

know who's at risk before they tell you.

every user gets a health score built from conversation signals: sentiment trend, friction rate, resolution rate, recency. scores update after every session. the rescue queue shows you who needs attention, ranked by urgency and tier.

  • score updates live after every conversation
  • segment by tier, cohort, or friction type
  • rescue queue routes highest-risk enterprise users first
cohort avg health
42
↓ 11 pts this week
rescue: 7
SC
Sarah Connor Enterprise
MW
Marcus W. Enterprise
DS
Divya S. Pro
LO
Leila O. Pro

topic analysis & signals

find which topics are breaking your agent.

abracadabra clusters conversations by what users actually wanted, then ranks each topic by friction rate. every session is tagged at ingestion, loops, tool errors, hallucinations, sentiment drops, all queryable and alertable. you see where to focus, not where to guess.

34%
28%
21%
18%
14%
8%
billing
questions
export &
reporting
onboarding
flow
integration
help
feature
gaps
general
help

friction rate by topic · last 30 days · 2,847 conversations

signals, events & segment tracking

every signal. every segment. in real time.

signals are tagged at ingestion: loops, tool errors, hallucinations, goal abandonment, sentiment drops, deflection responses. track any combination of signals across any segment, enterprise users, a specific cohort, users who hit a certain flow. set alerts. build a custom view. route to slack.

signal · enterprise tier · last 7d
loop detected
↑ 28%
vs. pro tier: +19 pts
signal · new user cohort · last 7d
goal abandonment
↑ 14%
vs. established: +9 pts
signal · billing flow · all tiers
tool error · billing_api
↑ 41%
spike started mon 09:00
10 built-in signal types
loops · tool errors · hallucinations · goal abandonment · deflection · sentiment drops · escalation intent · repeated questions · clarification failures · off-topic drift
segment by anything
tier · plan · intent · health score · date range · cohort · flow · custom metadata you send with each conversation
alert anywhere
slack · webhook · email · in-app. per signal, per segment, per threshold. fire on a single event or on a rate change across a rolling window.

05, ai summaries

BEFORE: 47 TURNS TO READ

AFTER: 2 SENTENCES

user asked about upgrading their team plan. the agent pointed to settings, but the upgrade option wasn't visible due to a permissions bug, user left without resolving.

RESOLUTION: FAILED · FRICTION: HIGH · INTENT: BILLING

06, root cause analysis

resolution rate dropped 20% this week. why?

we trace it back automatically, which topics, which user segments, which tool failures contributed. fix the cause, not the symptom.

CONTRIBUTING FACTOR

billing_api timeout on queries with >3 parameters

-14%

CONTRIBUTING FACTOR

enterprise users hit plan limit prompt, no clear next step

-6%

the answer is in your conversations. start reading.

request access today