The manual
The document that describes how your team sells. You upload it as a PDF, plain text or Markdown.
The sales manual is TopClosers’ source of truth. Everything that gets scored, compared and recommended comes from it: if your manual says budget must be confirmed before price is presented, that is what the AI looks for in every call. Without a manual there is no analysis.
The Sales manual screen belongs to the agency owner. Closers do not edit it — they see the result in the analysis of their own calls.
Two different things, and it pays not to mix them up:
The manual
The document that describes how your team sells. You upload it as a PDF, plain text or Markdown.
The rubric
What the AI extracts from the manual: the scorable sections of your sale, each with a weight and success criteria.
The score
Every call is scored section by section against that rubric, from 0 to 10.
The manual supplies the context and the vocabulary; the rubric supplies the rules used to grade. You can edit the rubric as much as you want without touching the document again.
Open Sales manual from the side menu. If there is none yet, you get the welcome screen with the three steps of the process.
Upload your manual. Drag the file onto the upload area or click to browse. PDF, .txt and .md are supported, up to 20 MB. You can give it a Title so your team recognizes it; leave it empty and the file name is used.
Click “Upload and build my rubric” and keep the page open. Reading the document and drafting the rubric takes a few seconds.
Review the proposed rubric. It arrives split into two blocks: Phases of the sale and General criteria. None of it is final — it is a draft for you to correct.
Adjust names, criteria and weights. The editor footer always shows the Total weight, which must reach 100%.
Click “Save rubric”. From then on, every new analysis uses this version.
The rubric takes two kinds of section. Both are scored the same way, 0 to 10, and both weigh on the final score.
The practical test: if you can point to the minute where it should happen, it is a phase; if it must hold across the whole conversation, it is a general criterion.
A section’s Weight is its share of the call’s overall score. The weights of every section — phases and general criteria together — must add up to 100%. Until they do, the rubric will not save.
Distribute weight by what actually decides your sales, not by what takes the most time. A three-minute close can matter more than a twenty-minute discovery.
Criteria are what the AI literally looks for in the transcript. The more observable they are, the more consistent the score.
The recommended format — and the one the AI proposes by default — is an additive point checklist:
+N pt: observable behavior.Each rule is evaluated as met, partial or not met, and the section’s score comes out of that tally. That is why a vague rule (“does good discovery”) produces erratic scores, and an observable one (“asks about available budget before quoting a price”) produces stable ones.
A Discovery section weighted at 25%:
+3 pt: asks at least two open questions about the current situation before pitching anything.+2 pt: quantifies the problem in money, time or volume with a concrete figure given by the lead.+2 pt: explicitly asks about available budget or investment range.+2 pt: identifies who else is involved in the decision.+1 pt: summarizes what was heard and asks for confirmation before moving to the proposal.And a general criterion called Control of the conversation, weighted at 10%:
+3 pt: the prospect talks more than the closer during the call.+3 pt: no monologue by the closer runs longer than two minutes.+2 pt: every objection gets a question before it gets an argument.+2 pt: the call ends with a concrete next step, with a date.The manual header shows the active Version and the upload date. Every time you replace the manual a new version is created, and calls from then on are scored against it.
What matters is what happens to what was already analyzed:
This is what lets you compare a closer’s progress without a rubric change distorting the history — but it also means that, right after a big change, new and old scores are not strictly comparable.