AI PQL Scoring Workflow Generator

# AI PQL Scoring Workflow - PLG Monetization Team

## Baseline
- Monthly product signups: 2,800
- Current activation rate: 38.0%
- Target activation rate: 55.0%
- Activation gap: 17.0 percentage points
- Current PQL rate: 22.0%
- Target PQL rate: 34.0%
- PQL-rate gap: 12.0 percentage points
- Current PQL-to-SQL conversion: 31.0%
- Target PQL-to-SQL conversion: 46.0%
- PQL-to-SQL gap: 15.0 percentage points
- Current SQL-to-win conversion: 23.0%
- Target SQL-to-win conversion: 29.0%
- Current sales follow-up SLA: 26 hours
- Target sales follow-up SLA: 12 hours
- SLA reduction target: 14 hours
- Average deal size: $18,000
- Primary PQL constraint: Weak intent signal coverage
- PQL pressure score: 100.0 / 100 (Critical)
- Recommended cadence: Run twice-weekly PQL command reviews with 48-hour blocker closure.

## Forecasted monetization movement
- Activated users / month: 1,064 -> 1,540 (+476)
- PQLs / month: 234.1 -> 523.6 (+289.5)
- SQLs / month: 72.6 -> 240.9 (+168.3)
- Won deals / month: 16.7 -> 69.9 (+53.2)
- New ARR / month: $300,600 -> $1,258,200 ($957,600)
- Incremental new ARR / year: $11,491,200
- Required PQL reviews / week: 120.9
- Available PQL reviews / week: 220.0
- PQL review coverage ratio: 1.82 (covered)

## Owner model
- Product owner: Product Growth Manager
- Growth owner: Growth Lead
- Sales owner: Sales Manager
- RevOps owner: RevOps Lead

## 90-day execution lines
| # | Stage | Objective | Owner | Due window | Success metric | Supporting route |
|---|---|---|---|---|---|---|
| 1 | Activation and intent signal baseline | Define activation milestones and product-intent signals by segment before scoring rollout. | Product Growth Manager | Week 1 | Segment-level activation and intent events are instrumented and reviewed weekly | AI Rollout and Adoption Hub (/ai-rollout-adoption-hub) |
| 2 | PQL scoring threshold design | Set segment-specific PQL score thresholds with quality guardrails and false-positive controls. | Growth Lead | Week 1-2 | PQL rate trends toward 34.0% with controlled quality drift | AI Growth Experiment Portfolio Allocator (/ai-growth-experiment-portfolio-allocator) |
| 3 | Sales handoff SLA enforcement | Operationalize handoff rules, SLAs, and ownership to reduce follow-up delays on high-intent PQLs. | Sales Manager | Week 2 | PQL follow-up SLA trends toward 12 hours | AI Lead Qualification Playbook Generator (/ai-lead-qualification-playbook-generator) |
| 4 | Capacity and prioritization control | Balance PQL review demand with pod capacity and pause low-return scoring lanes. | RevOps Lead | Week 2-3 | PQL review coverage ratio stays at or above 1.00 (current 1.82) | AI Monetization Sprint Hub (/ai-monetization-sprint-hub) |
| 5 | Revenue conversion feedback loop | Tie PQL-to-SQL and SQL-to-win outcomes back into score thresholds and segment priorities monthly. | Growth Lead | Week 4 | Incremental SQL and ARR trend positive for two consecutive review cycles | AI Revenue Lifecycle Hub (/ai-revenue-lifecycle-hub) |

## 90-day checkpoint scorecard
| Checkpoint | Activation target % | PQL target % | PQL->SQL target % | SQL target | Incremental ARR run-rate (USD/mo) | Owner |
|---|---|---|---|---|---|---|
| Week 1 | 40.7 | 23.9 | 33.4 | 99.5 | $153,216 | Product Growth Manager |
| Week 2 | 43.4 | 25.8 | 35.8 | 126.5 | $306,432 | Product Growth Manager |
| Week 4 | 46.5 | 28.0 | 38.5 | 156.8 | $478,800 | Sales Manager |
| Week 6 | 49.6 | 30.2 | 41.2 | 187.0 | $651,168 | Sales Manager |
| Week 8 | 52.3 | 32.1 | 43.6 | 214.0 | $804,384 | Sales Manager |
| Week 12 | 55.0 | 34.0 | 46.0 | 240.9 | $957,600 | Sales Manager |

## Weekly operating ritual
1. Review activation, PQL quality, and handoff SLA in one board.
2. Escalate one blocked score threshold or handoff path with a due date and owner.
3. Rebalance review capacity when PQL coverage ratio falls below 1.00.
4. Publish one weekly summary with SQL movement and ARR run-rate lift.