Questions
Four questions to ask before your next forecast.
Use last quarter to test how well your team knows the number, then get straight answers about PROOF before you book anything.
Four questions
Worth answering honestly before you read anything else.
Most revenue teams can answer one or two. Which ones you cannot answer tells you more than the forecast does.
Before your next forecastFour questions.
Four straight answers.
Four straight answers.
Use last quarter to test how well your team knows the number.
Revenue decision library
Start with the problem your team already recognises.
Ten evidence-led guides to the decisions that shape a quarter. Each starts with an operating problem, tests the obvious answer and shows what to measure next.
Forecast accuracyForecast accuracy: find where the error enters
A single accuracy percentage hides the operating problem.
Slipped dealsSlipped deals: learn why the quarter movedA new close date records where the deal went, not why it moved.
Deal riskDeal risk: act while the outcome can changeA risk score isn't useful if the team can't see what raised it.
Stage conversionSales-stage conversion without false precisionA conversion rate is only comparable when the stages mean the same thing.
Closed-lost analysisClosed-lost analysis that changes what happens nextThe final loss reason is often the last event, not the first cause.
Forecast biasForecast bias: measure direction, not just errorTwo forecasts can miss by the same amount in opposite directions.
Buyer confirmationBuyer confirmation: separate fact from assumptionWhat a Seller says and what a buyer confirms are different kinds of evidence.
CRM evidence qualityCRM evidence quality: know what supports the fieldA populated field doesn't prove the underlying claim.
AI authorityAI CRM write controls: keep people accountableAutomation becomes risk when it silently changes the commercial record.
Methodology adoptionSales methodology adoption in live dealsCompletion isn't adoption.
Straight answers before a walkthrough
Know what you're buying and what you're not.
Know what the operating model is, and what PROOF will not do, before you book anything.
How is this different from a conversation-intelligence tool?
Conversation-intelligence tools capture and analyse conversations. PROOF works across the commercial record. It connects your Method, deal evidence, human decisions, forecasting and outcome learning so the next action and the reason behind it travel together.
See the platformDo we have to change our CRM?
No. Salesforce or HubSpot remains the system of record. PROOF sits above it, keeps the source and timing visible, and controls consequential write-back through the configured authority and approval path.
See the connectionsWhat if Sellers will not use another tool?
PROOF is built around the work already happening in CRM, email, calendar and deal review. The Seller gets the question that matters now and the next action to take. PROOF doesn't build surveillance scores or activity league tables.
See the Seller loopHow long before it tells me something I don't already know?
It depends where you start, and we would rather say that than invent a number.
Start with Method and it is day one. Your stages and your questions are configuration, not learning. They are live on the first deal a Seller opens.
Start with Forecasting and it is your first cycle. Putting the CRM, the Seller, the Manager and your own forecast side by side does not need history. It needs this quarter.
Decision Integrity begins on the first deal that captures evidence, and keeps getting better. A trace of one deal is still a trace. A trace of two hundred is a pattern.
And here is the limit. We can bring your CRM history in, and it won't count as evidence. A Closed Lost field records an outcome and nothing behind it, not who confirmed what, not when, not on what basis. Evidence has a source and a time. A CRM value has neither.
So your evidence base starts the day you start. That is a real constraint, and you should hear it now rather than in month three.
See implementation readinessDoes AI decide what is true or write back to the CRM?
No. AI can capture, structure, retrieve, draft and propose. People review, decide and approve. Protected CRM fields follow the configured authority path, with the source and decision attached.
Explore AI TrustEvery one of those questions has the same root.
No system records what a decision was based on at the time it was made.
Start with your own numbers