BumbleB Crunch™

The end of waiting for answers

A conversation, not a dashboard. Ask in plain language and get a reasoned answer in seconds — grounded in your data, with the thinking attached. The questions you've been queuing for next week's review become the ones you answer in this morning's meeting.

What it looks like

A Tuesday morning

A product leader opens a conversation — not a dashboard, not a report. A conversation.

She types: "What happened to activation this week, and is it connected to the new onboarding flow we shipped Tuesday?"

In seconds, she has the answer. She follows up on segments, drop-off points, which step is breaking — all in one continuous dialogue.

No analyst engaged. No dashboard built. No query written. She just asked.


BumbleB Crunch · this week
What happened to activation this week, and is it connected to the new onboarding flow we shipped Tuesday?
Reasoning… · Cross-referencing release timeline

Activation is down 8.1% week-over-week — and it's concentrated. The drop starts Tuesday afternoon, two hours after the new onboarding flow rolled out. Users on the old flow are activating at last week's rate. The pattern is too clean for coincidence.

Which step is breaking?
Investigating…

Step 3 — the workspace-setup screen. Drop-off there jumped from 12% to 27%. Users are entering the screen and bouncing within 20 seconds, well below the time it takes to read the new copy. Looks like a friction point, not a comprehension one.

Which segments are taking the biggest hit?
Reasoning…

Mobile users are bouncing 2.3x more than desktop. The new screen probably renders differently on smaller viewports — that's where I'd look first.

Daily activations · this week vs. last
12010080flow shipped
MonTueWedThuFriSatSun
This week · - - - Last week

Drop concentrated post-Tuesday · Step 3 friction on mobile

BumbleB Crunch · last 90 days
Retention looks flat overall — but I have a feeling something is shifting underneath. What's actually happening?
Investigating… · Decomposing the aggregate

The flat number is hiding a divergence. Two segments are moving in opposite directions, almost cancelling each other out. New power-users are sticking harder than ever. Casual users are quietly drifting away. The headline metric won't show this until one of them wins.

Show me the segments diverging
Reasoning…
Day-30 retention by segment

Power-users are up 6 points; casuals are down 5. If casual loss accelerates, the aggregate flips inside a quarter. Worth a look at what changed in the casual onboarding flow around early March.

Day-30 retention by segment
SEGMENT90 DAYS AGONOWΔ
Power-user (5+ sessions/wk)62%68%+6 pts
Engaged (2–4 sessions/wk)41%42%+1 pt
Casual (1 session/wk)23%18%−5 pts
One-off visitors9%7%−2 pts
Aggregate34%34%flat

Divergence hidden in the aggregate · Day-30 cohort retention

BumbleB Crunch · last 90 days
Which onboarding path produces the stickiest users — and what are we losing by treating everyone the same?
Reasoning… · Comparing path outcomes

Three distinct paths show up in the data. Users who hit the "invite a teammate" step before the import step develop the strongest weekly habit — they return 2.4x more often by week four. The default path puts import first, which works fine for solo users but quietly underperforms for the team-based ones.

How big is the difference?
Investigating…
Onboarding path → week-4 habit

Meaningful. The invite-first path produces 3x the weekly-active rate of the import-first path among team accounts. Routing those users differently is the cleanest leverage point you have on long-term engagement.

Onboarding path → week-4 habit
PATHUSERSWK-4 ACTIVESESSIONS / WK
Invite-first (team accounts)1,84071%4.8
Default / mixed5,21044%2.1
Import-first (team accounts)1,29023%1.6
Solo (no team step)2,47052%3.2

Path detected from event sequence · 90-day cohort

BumbleB Crunch · last 30 days
Where are users getting stuck that the funnel isn't showing?
Investigating… · Looking past funnel boundaries

A few spots stand out. Three of them happen after the user looks like they've succeeded — which is why the funnel reads green but engagement quietly fades.

Rank by how many users are affected
Reasoning…
Silent friction points

The "first dashboard load" stall is the largest in absolute terms. The cleanest win is the integration step — most users who try it bounce within 30 seconds, suggesting a broken path, not a hard task.

Silent friction points · ranked
WHEREUSERS / MOSIGNAL
First dashboard load · long wait4,21032% bounce
Integration step · abandoned in 30s1,840Trivial fix
Invite link sent, never opened1,560Re-send absent
Search returns 0 results, no retry1,120Dead-end UX
Settings page · repeated saves680Confusion signal

Detected from session sequences · Last 30 days

BumbleB Crunch · board prep
I have a board update in an hour. What are the three things I should lead with on product health, and what's the one risk I shouldn't gloss over?
Synthesizing… · Framing for the audience

Three to lead with:

  1. Power-user retention up 6 points — strongest signal you have. Quietly compounding.
  2. Sessions per active user up 22% — the engagement curve is bending the right way.
  3. Time-to-first-value down to 4 minutes — onboarding is finally doing its job.

The one to surface, not bury: casual-tier retention is down 5 points. The aggregate is flat, so it won't show in your KPI slide — but it's the leading indicator your story sits on top of. Better to name it than have a director find it.

Show me how power-user retention has moved
Pulling trend…

Steady climb across the last four quarters — the kind of trend you can stand on.

Power-user Day-30 retention · trailing 4 quarters
70%65%60%62%64%67%68%
Q2Q3Q4Q1
Power-user retention · Day-30

+6 pts over four quarters · the trend to lead with


The questions you'd ask if asking were free

Not the questions a dashboard can answer. The ones that matter to the next decision — answered in the moment you ask.

"What happened to activation this week, and is it the new onboarding flow?"

"Which segments are driving the retention lift — and is it sustainable?"

"Where are users getting stuck that the funnel isn't showing?"

"Which onboarding path produces the stickiest users?"


Five layers deep

Crunch organises your data automatically — from raw hits to revenue signals.

Event

Raw clicks, pageviews, and custom events — every signal captured.

Activity

Sessions, sequences, and what each visit actually looked like.

Behavior

Patterns across visits — funnels, drop-offs, feature adoption.

Habit

Stickiness, return frequency, and long-term engagement loops.

Revenue

Conversion, LTV, and the business outcomes that matter most.


Connect any website

Crunch ingests via Google Tags — the same tracking most websites already have. No pipeline engineering, no analyst, no setup project. Drop in a tag and start asking.

Ask in plain language

No SQL. No dashboards. Crunch navigates 21 analytic skills — orient, drill, escalate, investigate, pivot — and answers in dialogue, not charts.

Gets smarter over time

Today Crunch covers events, activity, and behavior strongly. Habit and revenue layers are actively being built — so the harder your questions get, the better it answers.


Built to be trusted

An analyst you can audit. Crunch's answers come with their reasoning attached.

Solves problems it's never seen

Crunch composes solutions from verified analytical primitives. Over 80% accuracy on problem types it has never encountered before — because it learns patterns, not answers.

Every answer is auditable

Each response is a traceable chain of verified operations. You can see exactly how Crunch arrived at every number. No black box.

Can't hallucinate operations

Crunch composes from a toolkit of verified functions. It can't invent one that doesn't exist. If a question is out of reach, it tells you — instead of inventing an answer.

Smarter as the models improve

Crunch is aligned with how language models naturally reason. Every leap in base-model capability flows through as better analytical thinking — automatically.


Built to think, not just to look up

Most AI analytics tools are smart selectors — they read your question, pick a pre-built report, and read the result back to you. Crunch is different. It reasons through your question the way a senior analyst would: decomposing it, investigating, building on what it finds. Every question gets a fresh investigation — grounded in your data, composed in the moment.

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