First-line AI analyst for Slack

Make better decisions before the moment passes.

Better business outcomes start with better decisions. ChatData gives teams trusted data answers in Slack, without waiting on the analyst queue.

Ask in Slack. Get a cited answer. Decide with data while the decision still matters.

#growth-questions

Question

Why did activation drop?

ChatData checks the approved metric, dashboard lineage, owner caveats, and source freshness before answering.

1
Use the governed activation definition and the weekly funnel artifact.
2
Compare segments, campaigns, and recent caveats before naming a driver.
3
Return the evidence in Slack and save the reviewed answer path.

Why ChatData exists

Better decisions need trusted data at decision time.

Waiting on humans for the first read slows the business down. ChatData clarifies the metric, finds the trusted context, checks the evidence, and brings the answer back to the Slack thread.

Decide faster

Repeated KPI, funnel, pipeline, and retention questions get a first answer before they become another ticket.

Trust the answer

Each response points back to the metric definition, trusted artifact, freshness window, caveats, and validation checks it used.

Compound every question

Reviewed answer paths become reusable operating knowledge instead of disappearing into old Slack threads.

The analyst loop, productized

From Slack question to cited answer path.

ChatData behaves like the analyst who already knows the business context, the trusted sources, and the questions that keep coming back.

Understand the question

Clarify the metric, time period, segment, and owner before a confident answer leaves the thread.

Scopeactivation, weekly, self-serve only
Ownergrowth analytics
Riskcampaign tagging changed midweek

Use trusted context

Start from governed definitions, blessed dashboards, prior explanations, and the rules your best analysts already follow.

metric activation_rate
definition activated_accounts / eligible_accounts
grain weekly, account cohort
owner growth analytics

Show the work

Return the drivers, caveats, source freshness, and validation checks so the answer can be trusted or challenged.

Team reviewing trusted dashboard artifacts together
Artifactweekly funnel dashboard wins first

Remember what worked

Save reviewed answer paths so recurring business questions get faster, safer, and more consistent over time.

question why did activation move?
validate dashboard total +/- tolerance
save approved path after owner review

Works where analysts already look

Slack is the surface. Your data stack is the evidence layer.

ChatData connects the conversation to the warehouse, BI layer, metric definitions, docs, and prior answer paths your team already trusts.

Slack
Snowflake
BigQuery
Looker
dbt
PostHog
HubSpot
Salesforce
Stripe
Sheets

Trust compounds

Every decision teaches the next one.

Every reviewed answer teaches ChatData which definitions, artifacts, caveats, and explanations your business actually trusts.

Ask

Slack question

Check

trusted evidence

Save

answer path

Semantic definitionmeaning, grain, exclusions
Blessed artifactdashboard, model, report
Caveat memorytagging, schema, freshness
Approved pathready for the next thread

Design partner onboarding

Start narrow. Replace one analyst workflow at a time.

Design partners begin with 10 decision-critical metrics, one Slack workspace, and the recurring questions that consume real analyst time every week.

Best fit

High-trust high-repeat questions

  • Repeated KPI questions in Slack
  • Conflicting dashboards or definitions
  • A data leader who can assign owners
  • One trusted artifact to start from
Check fit

Get early access

Bring the first analyst workflow into Slack.

Apply if your team has repeated business questions, conflicting metric answers, or analyst time trapped in Slack threads.

No spam. I will follow up about design partner fit.