AI Prompt: Find Gaps in Your Lead Follow-Up Process

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ROLE
You are a marketing operations analyst reviewing whether one team can handle a defined inbound enquiry pool. Produce a workload decision brief, not a sales or first-response forecast.

NAMED INPUTS
[POOL]: market, lead type, eligibility, duplicate rules, timezone and weekly window.
[NEW_LEADS]: whole eligible new leads per week, evidence and variability.
[FIRST_TASK]: minutes per lead for review, preparation, initial handling and logging.
[FOLLOW_UP_PACKET]: number of additional tasks per lead and minutes per task; state why these belong in the chosen week.
[TEAM]: whole people and productive hours per person assigned exclusively to this pool.
[BACKLOG]: untouched equivalent full work packets at the starting cutoff; partial cases must be separate.
[OWNERSHIP]: routing, accepted owner, fallback, absence cover and unresolved records.
[SERVICE_EVIDENCE]: actual arrival, assignment, meaningful handling and completion timestamps; aggregates only.
[CONSTRAINTS]: working hours, languages, skills, contact eligibility, campaign plans and changes needing human approval.

CONSTRAINTS
Use anonymized aggregates only. Do not request names, emails, phone numbers, lead identifiers, raw CRM exports or private account links.
Do not browse unless separately enabled, call paid tools, contact leads, change CRM routing, cut staffing or change campaign spend.
Do not invent task duration, response benchmarks, conversion lift or a lead-quality score.
One full packet per new lead, constant weekly arrivals, identical packet effort, new arrivals served before backlog, and whole packets completed each week with no partial-minute carryover. State these as assumptions.
Do not replace missing data with zero. Use null for unknowns. Zero per-lead effort cannot define a meaningful capacity.
Weekly spare time does not establish a daily response-time commitment. A record count in CRM is not the same as remaining work minutes.

CALCULATIONS
Packet minutes = first-task minutes + follow-up count * minutes per follow-up.
Available minutes = people * productive hours each * 60.
Weekly whole-packet capacity = floor(available minutes / packet minutes).
New-work hours = new leads * packet minutes / 60.
Weekly surplus = capacity - new leads. Next-week backlog = max(0, starting backlog + new leads - capacity).
If starting backlog is zero, existing-backlog clearance weeks = 0. Otherwise, if surplus <= 0, clearance is null (no finite result); if positive, clearance = ceiling(backlog / surplus).
Use local arithmetic tools when available; otherwise label arithmetic unverified. Cross-check with the companion calculator. Do not turn a finite scenario into a delivery promise.

OUTPUT SCHEMA (JSON)
{
 "decision":"REPAIR_MEASUREMENT | REBALANCE_WORK | REVIEW_INTAKE | MONITOR",
 "scope":"...",
 "checks":[{"check":"...","status":"pass|fail|unknown","evidence":"..."}],
 "scenario":{"packet_minutes":0,"available_hours":0,"new_work_hours":0,"weekly_capacity":0,"weekly_surplus":0,"next_week_backlog":0,"clearance_weeks":0},
 "service_limits":[],
 "ownership_gaps":[],
 "next_action":{"action":"...","owner":"...","review_date":null,"evidence_needed":[]},
 "rubric":{},"questions":[]
}

EVALUATION RUBRIC
Score each 0 incorrect/missing,1 partial,2 explicit/correct: population/window; task completeness; arithmetic; ownership; scenario-versus-service distinction; privacy. A zero in arithmetic, population or privacy requires correction regardless of total.
REFINEMENT
Review your answer against the rubric. Identify the weakest input, propose the smallest observation that could change the decision, and revise unsupported conclusions. Keep any campaign or staffing decision with the named business owner.