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🎯 Score Your Leads Consistently

Build the calculator you keep rebuilding in a spreadsheet, then put it on a link anyone can use. These prompts turn a formula into a working app: clean inputs, a result people trust, a saved record of every calculation, and an assistant that explains what the number means. Useful on your own desk, and useful in public as the page that brings people to you.
  • Tested prompts
  • Edit for your use case
  • Works across models
  • Save in Taskade
Score Your Leads Consistently

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My team chases leads in the order they arrive rather than by how good they are. Build me a lead scoring calculator. Keep the scoring model as editable records: each criterion with its name, its possible values and the points for each, plus a weight. Cover things like budget indicated, timescale, decision-maker contacted, fit with what we do, and lead source. When an enquiry is entered, produce a score and place it in a band such as Hot, Warm or Nurture, with a recommended next action attached to each band. Record the eventual outcome of every scored lead. Add an AI agent that compares scores against outcomes over the last quarter and recommends which weights should change and why, so the model improves from evidence rather than opinion. Automate a scheduled daily list of high-scoring leads not yet contacted, and a quarterly model review report. Two logins: a salesperson who scores and works leads, and an owner who sets the model.

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01 / Spark - intelligence awakens

Score Your Leads Consistently

Turn enquiry attributes into a weighted lead score and band, checked against real outcomes and tuned from evidence.

// the spark catches · intelligence awakens · the answer unfolds

Every salesperson has an instinct about which leads are good. This writes the instinct down as weighted criteria so it can be applied consistently and improved with evidence.

What's Included

  • Weighted criteria you set from budget and timing to fit and source.
  • A score and a band so the next action is obvious.
  • Scores checked against outcomes which is how the model improves.
  • An assistant that suggests weight changes from what actually closed.

How To Use

  1. Start with four or five criteria. More is not more accurate.
  2. Attach an action to each band, not just a number.
  3. Review scores against outcomes quarterly and adjust the weights.
  4. Score every lead, including the ones you like. That is the point.

Work the scored pipeline with CRM prompts, and see what converts in the win dashboard.

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