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Discovery

Ask your calls anything.

Natural-language search across every call and test run. Get AI-synthesized answers backed by citations you can click through to.

DiscoveryWhy are customers hanging up?
Which calls had silence longer than 5 seconds and ended in hang-up?⌘↵
filters:agent:Debt-Collectionsource:productionlast:30dend:silence-timed-out+ duration
Answergpt-4o · 1.4s · 23 chunks

Across the last 240 calls, 12 calls ended with silence gaps over 5s. The pattern concentrates on the Debt Collection Agent after balance-verification turns12, with average silence of 6.8 seconds before timeout.

Latency on these calls averaged 2.1s — 2× baseline — suggesting the agent was waiting on a slow tool call before responding3.

Cited calls · 3 of 12
1CALL
Call #270· Debt Collection · 84s
"…let me check…" silence 7.2s
0.94
2CALL
Call #265· Debt Collection · 71s
"…one moment…" silence 6.1s
0.91
3RUN
Run #2-412· Refund Bot · 62s · batch #44
Post-v2.4 · agent paused mid-handoff
0.88
Hangup rate
5.0%
+1.8 vs baseline
By end reason
silence-timed-out12
customer-hung-up6
assistant-ended4

Plain English

No query language. Ask the same way you would in Slack.

Backed by citations

Every answer links back to the specific calls or runs behind it.

Questions for you

The dashboard auto-generates questions worth asking from your metrics.

Search

Ask, don't query.

Discovery searches across every observed call and scenario run with OpenAI embeddings. Narrow by source type, agent, end reason, or duration — then let GPT-4o do the reading.

  • Search observability calls, test runs, or both
  • Filters: source, agent, end reason, min/max duration
  • Example questions surface the moment you land on the page
  • Save a question + its filters as a named query for later
Search
Which calls ended due to long silence?
Source
Observability
Agent
Any
End reason
silence-timed-out
Min duration
60s
Example questions
Who has the highest avg latency?Calls with >3 interruptionsVoice clarity issuesAvg words per minute
Citations

Every answer points to real calls.

GPT-4o synthesizes a concise, data-driven response and cites the specific calls and runs it drew from. Click any citation to jump straight to the call detail or run result.

  • Answers stay grounded — no free-floating claims
  • Citations deduplicated per call, even across chunks
  • Source badge distinguishes real calls from scenario runs
  • Metrics from each chunk feed the synthesis — latency, silence, WPM, tone
Answer

Across the last 240 calls, 12 calls ended with long silence gaps. The pattern concentrates on the Debt Collection Agent after balance-verification turns, with average silence of 6.8 seconds before timeout.

Latency on these calls averaged 2.1s — 2x the baseline — suggesting the agent was waiting on a slow tool call before responding.

Citations
CALLCall #270+1-555-0134
Debt Collection · silence-timed-out · 84s
CALLCall #265+1-555-0187
Debt Collection · silence-timed-out · 71s
RUNRun #2-412Batch #42
Refund Bot · assistant-ended · 62s
CALLCall #249+1-555-0209
Debt Collection · silence-timed-out · 58s
Dashboard

The questions you didn't think to ask.

Your dashboard surfaces AI-generated questions based on your custom metrics, plus a baseline set of 12 standard questions. One click runs the analysis.

  • 2 custom questions generated per metric
  • 12 baseline questions on latency, silence, interruptions, WPM
  • Unread / read / skipped lifecycle keeps the carousel fresh
  • Click Analyse to jump into Discovery with the question pre-filled
Questions for you
3 unread
STANDARD

Which calls had silence longer than 5 seconds?

STANDARD

Which agent has the highest average response latency?

GENERATED

Show me calls where tone score dropped below 3

1 / 3

How it works

rubricmindObservability · Live feed
AS

Production calls

Auto-embedded into vector index as they finish
indexing
MC
call_b41aMaria C.
Refund — duplicate charge
3:42142wpm
indexed
JK
call_b41bJames K.
Booking — date change
2:08128wpm
indexed
RT
call_b41cRobert T.
Tech help — login
5:1496wpm
embedding
PS
call_b41dPriya S.
Insurance — claim status
4:01134wpm
transcribed
AW
call_b41eAlex W.
Cancel — retention
6:33118wpm
queued
MC
call_b41fMaria C.
Late fee waiver
2:54152wpm
queued

Why it matters

What happens without Discovery?

Insights stay buried in dashboards

Your metrics are technically there, but answering a specific question — 'which calls had silence over 5 seconds?' — means exporting CSVs and writing queries nobody has time for.

Most insights die in SQL-editor purgatory

You don't know what to ask

Knowing your agent has problems is not the same as knowing which questions surface them. Teams spend weeks chasing anecdotes instead of patterns.

Unknown unknowns block improvement

Patterns hide across thousands of calls

A single bad call is noise. The same failure across 40 calls is a production incident. Without semantic search, you never see the grouping.

Repeated failures look like one-offs

Don't let your AI embarrass your brand.

Find failures before your customers do. Free to start. No credit card required.