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    Pipeline forecasts

    A forecast built from deal evidence, not stage percentages

    Roll your pipeline up into a forecast that weighs each deal's real signals (activity, engagement, history), so the number you take to the board is one you can defend.

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    The problem

    The forecast is a spreadsheet of stage-weighted guesses. Every deal at 60% counts the same, whether the champion went quiet a month ago or signed the order form yesterday.

    Built from Rig's building blocks

    Rig is not a fixed template. It is a set of building blocks, and this app is one way to assemble them. Take what you need, then shape the workflow around your own pain.

    Sync your CRM plus call and activity data into Rig
    Context layer holds your forecast categories and what counts as evidence for each
    A workflow scores every deal against its own signals, not its stage percentage
    A live forecast dashboard, plus ask-anything in Claude

    How to build it

    1. 1

      Connect your pipeline data

      Bring in your CRM alongside the systems that hold the real deal signals: calls, emails, meetings. Rig joins them into one governed picture of every open deal.

    2. 2

      Encode your forecast definitions

      Define commit, best case and pipeline in your own words in the context layer, so every roll-up uses the same rules instead of each manager's private spreadsheet.

    3. 3

      Score deals on evidence

      A workflow weighs each deal's activity, engagement and history, and flags the ones the stage percentage flatters, the quiet champion, the pushed close date.

    4. 4

      Publish the roll-up

      Share a live forecast dashboard and interrogate any number in Claude: which deals moved, what changed since last week, where the risk sits.

    The outcome

    Forecast calls argue about deals, not spreadsheet mechanics, and the number holds up when the quarter closes.

    Build your own version

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