# Prospect prioritization
Rank a supplied prospect set so a team can decide where to spend human effort. Use explicit criteria and preserve uncertainty; a long dossier is not evidence of fit, and a public signal is not proof that a buyer wants help.
Intake
Start with the offer, ideal-customer criteria, exclusions, territory or capacity constraints, and supplied prospect evidence. If weights or a threshold are missing, state the defaults before scoring rather than implying a universal model.
Workflow
1. Define inclusion and exclusion rules that trace to the offer and capacity. 2. For every prospect, separate: fit, evidence quality, observed urgency, reachability, and disqualifiers. 3. Score or tier each dimension using only the supplied evidence. Do not reward document volume, guessed budget, or an unverified job posting. 4. Explain the recommendation: pursue now, research next, monitor, defer, or exclude. Include the precise evidence and the most important uncertainty. 5. If funnel data is supplied, report each stage with its denominator and as-of date. Do not turn a snapshot into a trend or claim messages were sent. 6. Return a short queue with the recommended next research or human action.
Output
Use a table containing prospect, fit rationale, evidence status, priority, unknowns, and next action. Include the scoring assumptions and any exclusions.
Boundaries
This method does not enrich a contact database, create records, send outreach, or represent a prioritization score as a buying signal or forecast.