This is the whole flow, start to delivered — watch it once below, then run it yourself. No setup, no statistics degree, and your welcome credits cover the first report.
Under 10 seconds
1 · DEPTH — how deep should we go?
SnapshotA quick chart
~2 min200 cr
BriefA comprehensive answer
~7 min500 cr
DeckThe full report
30–45 min2500 cr
2 · DATA — what are we analyzing?
Upload a fileOpen existingPaste link or rowsConnect a source
📄 sales_2026.csv
Drop a CSV, Excel, or TSV fileor click to browse — no data handy? Run the sample
✓ sales_2026.csv — 1,240 orders × 9 columns
Anything we should know about this data? "Shopify export — 12 months of orders and ad spend"
3 · DESIGN — we read your data, you pick the question
Ask anything about this data…How do I increase sales?
Reading sales_2026.csv (1,240 orders) — profiling your columns…
What's driving my sales?Rank price, ad spend, category and season against revenue
What's my best selling product?Every product ranked by revenue and units, and the gap between them
How do I increase sales?Where the headroom is, and which lever to pull first
Ask the analyst →
3 · DESIGN — the analyst asks before it runs
ANALYSTGood question. Anything specific I should factor in — Christmas is coming up, and are you planning to change ad spend?
Answer or adjust…Yes — holiday push, ad spend up 2x in November
Send
✓ The brief is ready — create your analysis whenever you are.
Create my analysis
4 · TRACK IT — watch your analysis get built
🛰️ Building: How do I increase sales?
Snapshot · sales_2026.csv · about 2 minutes
✓Reading your data
✓Designing the analysis
✓Running the numbers
✓Checking the answer
✓Publishing your report
DELIVERED
How do I increase sales?
Yours to keep, share, and re-run on new data
View report →
DEPTH · DATA · DESIGN — then watch it build, and the report is yours.
1
Pick a depth
Snapshot is the right first run — a full interactive report in about two minutes, covered by your welcome credits. You can always go deeper later; every analysis you commission stays yours.
2
Bring data — a file or a link, any table works
Drop a CSV or Excel export from anywhere — your shop, Stripe, a spreadsheet, lab results — or paste a public URL to one and it becomes a dataset on the spot. Check the preview, and if you like, tell us in one line what it is and what you're hoping to learn. That one line makes the suggestions noticeably sharper.
3
Tap a question, or ask your own
We read your columns and suggest questions your data can actually answer. Tap one — or type anything — and the assistant shapes it with you. One more click and it's building. Two minutes later: charts, the numbers, and the method, in a report you can cite and re-run.
No file handy? Two other ways in.
Paste a link — any public CSV or Excel URL (a shared sheet export, a data page, a download link) becomes a dataset the moment you paste it. Or click “Run the sample” and see a real, finished report in about two minutes without bringing anything at all.