
Lead scoring beyond gut feel
The criteria for a good lead exist, and they live in somebody’s head. This is how an agent scores from criteria you wrote down, shows the inputs behind every number, and names the record your criteria cannot score instead of scoring it low.
Everyone agrees which leads are good, until you ask why
The score is a number nobody can take apart, so nobody argues with it
- Every week somebody argues about which leads are worth the time, and no two people on the call mean the same thing by a good one.
- The criteria exist.
- They live in somebody's head, nobody has written them down with a weight against each one, and nobody has tested them against what actually closed.
- So a score arrives on a record, the person looking at it cannot explain the number, and the record that scored low scored low because a field was empty rather than because the lead was weak.
The criteria are written down, the contributions are shown, and a person decides
- A score can be read.
- A criterion that stopped working becomes a question.
- An old score still explains itself.
How an agent runs it
A score is worth what you can say about it. This workflow starts from criteria you have written down, and keeps the inputs attached to every number it produces.
Holds
Scores
Shows
Names
Compares
Human gate
Records
What changes when the criteria are an object you can read
A score can be read
A criterion that stopped working
An old score still explains itself
Where this fits
Tier 1 through the Automate a Workflow door: one process end to end, from criteria you wrote down to a score a person can read. The criteria themselves, what a score means and what happens to a scored record stay a person's. The marketing ops manager as an AI Employee is the possible next step rather than a promised state; How It Works shows how the criteria gate is built.
