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Open with the business problem, not a feature list. Who will use the system, how often, and what happens today? An experienced team who understands the goal often proposes an alternative that costs less; a team that receives only a list of screens prices the list as written.

Set out the scope as short scenarios: what the user does and what the system does in response. Every bit as useful, list what the first release deliberately excludes. A written out-of-scope list removes more argument during acceptance than any other single page. Mark too which items are decided and golang development services cost which are still open — the difference changes the price, and concealing the open questions helps nobody.

List the constraints. These include existing systems the software has to talk to, the data you already hold and its condition, security and compliance rules, user volumes, which devices matter and any technology you are committed to. If a deadline is real, explain what drives it: an experienced team can often rearrange the plan to hit it, provided they hear about it early.

Write down what the word done means feature by feature. Testable acceptance criteria need not use any formal notation: a plain-language note describing the expected behaviour is enough. That one addition reduces acceptance testing by a surprising margin and eliminates most late-stage disagreement.

Finally, say what you expect back. Request an itemised estimate, a written list of assumptions, python consulting services the main risks and a range rather than a single figure. Read a wide range as a signal about the brief: it tells you where your description is thin. At that point tighten that section and request a revised number — the second estimate will be the one worth planning around.