Prioritising users for follow-up

The problem

The exports mixed usage, payment flags, and contact details. Those signals needed different weight and treatment.

My contribution

• Defined the scoring rules with separate components for activity and fit.
• Ranked the users while preserving the original fields.
• Kept missing information visible so the team could review it.

Evidence & scope

I checked the score calculations, user IDs, and ordering against the original exports.

What came out of it

A follow-up priority list with scores the team could explain.

The team received a ranked list and the rules behind it, so priorities could be reviewed and changed.