"When will it be done?" has an honest answer. It's a range.

No estimates. No story points. Honest Cheetah reads how fast your team has actually been finishing things, runs the numbers ten thousand times, and tells you what's likely. Free, for every organization.

You tell it which statuses mean "started" and "finished." It computes the rest from your board's own status history. Counts, not percentages. No AI touches the arithmetic.

Metrics

The Metrics tab shows throughput over the last 7 and 30 days, average cycle time and your typical delivery time, then a week-by-week table and the progress of every item on the board.

Two questions, two forecasts

How long will N items take?

Give it a count. Get a date at 50, 80, 90 and 99 percent confidence, and the spread of simulated outcomes by week.

How many items by this date?

Give it a date. Get a count at each confidence level and, under it, the backlog in order with each item's odds of making it.

The forecast asking how many items by October 9, with confidence tiles, a distribution, and the backlog listed with per-item odds — The tiles are the summary. The table underneath is the part you'll argue about in planning.

The forecast asking how long twenty items will take, with dates at each confidence level and a distribution by week count

You can also try a hypothetical throughput to see what "if we were a little faster" actually buys you.

A likely iteration next to every item

Turn on Show forecast on the backlog and each item gets a Likely iteration: the first iteration by whose end it has at least an 85 percent chance of being done, given where it sits in the backlog and a Monte Carlo run over your throughput. An assumptions line above the table says what the forecast is based on.

The backlog with the Likely iteration column showing Sprint 1 and Sprint 2 with confidence levels, and the assumptions line above — A forecast of completion, not an assignment. It changes when the order changes.

This is the honest answer to "when will #17 be done?": a sprint and a confidence, computed from how fast you've actually been going. It is not a promise. More on iterations on the planning page.

Nothing to forecast yet?

A new board has no history, and a forecast with no history is a shrug. Settings lets you seed sample history (three presets, one click) so you can see how the metrics and forecasts behave before your own history exists. Seeded weeks are labelled seeded everywhere they appear. Clear it whenever you like.

The Sample history section of Settings showing the seeded preset and a Clear button

Coming from Azure DevOps? The import brings up to a year of completed work with it, so the forecast has real history on day one.

Want the numbers explained?

On a paid plan, Explain narrates what the numbers mean in plain English: what's trending, what's stuck, what to watch. It reads the metrics Honest Cheetah already computed and doesn't compute anything itself. AI features →