Quickstart
Use this flow when you want to get productive quickly without skipping the core review step.
1. Sign in and choose the right account
Section titled “1. Sign in and choose the right account”Sign in to Tukun.ai and confirm you are in the correct account before doing anything else.
Why this matters:
- data sources are account-scoped
- conversations and saved assets are account-scoped
- billing and usage are account-scoped
If you are working with production data, do not run setup in a test or personal account by accident.
2. Connect one data source first
Section titled “2. Connect one data source first”Start with one approved source instead of trying to onboard everything at once.
Prepare:
- a read-only credential
- the approved database or schema scope
- one or two known tables you can use for validation
If you need setup details, read Connect Data.
3. Ask one concrete question
Section titled “3. Ask one concrete question”Open the Workbench and start with a question that has:
- one clear metric
- one clear time range
- one clear breakdown or filter set
Example:
Show weekly active accounts for the last 12 weeks by plan tier.Avoid stacking too many goals into the first question. If you need more depth, get the first result right and then follow up.
If you uploaded a structured file, start with the suggested follow-up questions shown under the result. They usually give you a faster path into trend, breakdown, or anomaly checks.
4. Review before you trust
Section titled “4. Review before you trust”Check:
- whether the metric interpretation matches your intent
- whether the time range is correct
- whether the filters and exclusions are correct
- whether the result looks directionally plausible
- whether the evidence is strong enough for the decision you want to make
Use Review Results as the checklist.
5. Resolve ambiguity instead of sharing around it
Section titled “5. Resolve ambiguity instead of sharing around it”If the answer is close but not yet trustworthy:
- rewrite the question
- add the missing filter or breakdown
- narrow the time range
- define or refine the metric in semantic modeling
Do not save a result just because it looks polished. Save it when the team agrees it is conceptually right.
6. Save only repeatable outputs
Section titled “6. Save only repeatable outputs”Once a result survives review:
- save it as a card if it answers one recurring question
- add it to a dashboard if it belongs in a repeated operating review
- model the metric if the same business definition keeps reappearing
A good first-session outcome
Section titled “A good first-session outcome”Your first successful session should end with these outcomes:
- one connected source
- one validated question
- one checked answer
- one clear list of definitions that still need cleanup
That is a better onboarding milestone than trying to create a perfect dashboard on day one.