CPO Board Prep Template

Section 1

Product Performance Summary

Tells the board whether the product is healthy and whether AI investment is driving measurable value.

1.1 — Net Revenue Retention (NRR)

Current Period

Target: 110%+ enterprise · 100%+ SMB

Prior Period

Delta

If below 100% — primary driverAttribution required: expansion / churn / contraction

1.2 — Gross Revenue Retention (GRR)

Current Period

Target: 85%+ SMB · 90%+ enterprise

Prior Period

Delta

1.3 — ARR / Revenue

Current ARR / Revenue

Prior Period

Growth Rate

PE vs. VCP Target

On Track Below Above

PE Variance to Plan

1.4 — AI Feature Adoption

Feature(s) in scope

Reach (% MAU/DAU at 30 days)

Target: 35–50% within 90 days of GA

Engagement Depth

NRR Impact (measured)

Measured — impact: ___ pp Estimated — estimate: ___ pp Not yet measured

1.5 — Activation

Activation Rate

Activation Definition

Median Time-to-Value

Target: ≤7 days SaaS · ≤30 days Industrial

Primary activation blocker (if any)

1.6 — Cohort Retention Signal (optional)

90-day Logo Retention

12-month Logo Retention

Expansion Cohort Trend

Accelerating Stable Decelerating

Section 2

Roadmap Credibility Score

Tells the board whether the CPO can execute. "Can we trust the commitments you're making today?"

5All committed items shipped on time · no customer commitment misses · PE 18-month filter fully aligned · dependencies resolved

485–99% shipped · 0–1 minor customer miss with root cause · PE filter confirmed · 1–2 open dependencies managed

370–84% shipped · 1–2 customer misses with root cause · PE filter partial · dependencies tracked

250–69% shipped · 3+ misses or one significant miss · PE filter unclear · unresolved dependencies

1<50% shipped or chronic miss pattern · multiple commitment misses · PE filter not applied · dependencies unmanaged

0Commitment discipline absent — no tracking, no accountability, no PE filter, no dependency governance

CPO Self-Score

Score:

Rationale for score

2.1 — Delivery Record (last reporting period)

Total Committed

Shipped On Time

Shipped Late

Deprioritized / Dropped

Shipped / Committed Ratio

Target: ≥85%

Root cause of misses

2.2 — Customer Commitment Exposure

External Dates Committed

Missed

Avg Delay on Misses

Customer relationship impact

2.3 — PE 18-Month Filter Alignment

18-month PE filter applied to roadmap

Yes No Partial

Items at risk outside hold period

VCP-linked roadmap items

2.5 — Open Dependencies and Blockers

Section 3

AI Moat Update

Tells the board whether AI is building durable competitive advantage. "What is our AI actually worth?"

3.1 — AI Features in Production

3.2 — Moat Evidence

Primary moat type claimed

Data flywheel (unique training/fine-tuning data accumulating with usage) Network effect (value increases with more users/data) Switching cost / workflow lock-in (AI embedded in customer process) Proprietary model or capability (not replicable with generic LLMs) No moat claim — threshold parity play only

Evidence for moat claimSpecific data, not assertion

3.3 — NRR Impact of AI Features

Measured — delta: ___ pp · Cohort size: ___ Estimated — estimate: ___ pp · Basis: ___ Not yet measured

3.4 — AI Feature Quality Gate Status

Last AI Quality Review

Eval Design in Place

Yes No

Override Rate Tracked

Yes ___ % No

Regression Gate per Release

Yes No

3.5 — EU AI Act Status

Applicable high-risk systems

Yes No Assessing

If Yes — systems list

Product design decisions logged

Yes No

Human-in-the-loop (HITL) implemented

Yes No N/A

3.6 — Theater vs. Moat Self-Assessment

Clear moat — evidence above is strong and specific Developing moat — mechanism exists, data accumulating Parity play — matching competitors, not differentiating Theater — AI features visible but not driving retention or NRR

3.7 — Next AI Bet

Feature / capability under development

Hypothesis (why moat, not theater)

Expected NRR impact

Section 4

Competitive Landscape

Tells the board whether the CPO understands the market. "Are we going to lose market position?"

4.2 — Win / Loss Signal

Win Rate (last period)

Primary Win Reason

Primary Loss Reason

AI as win/loss factor

Win driver Loss driver Neutral Not tracked

4.3 — Key Competitive Gap

4.4 — CPO Differentiation Response

Specific product response

Timeline for response

Section 5

Resource Ask

Tells the board whether additional investment is justified. "Why should we approve this now?"

5.1 — Investment Requested

Budget Amount

Headcount

Investment type

Incremental budget Reallocation New hire(s) External / vendor

5.2 — What This Funds

5.3 — Business Case — ROI Framing

Primary metric impacted

Expected impact (quantified)€ ARR / pp NRR / other

Evidence basis

Measured (prior cohort / A-B test) Analogous data (benchmark / prior company) Hypothesis (no current evidence)

Timeline to impact

5.4 — Risk if Not Approved

Competitive exposure:

NRR risk:

Roadmap item delayed:

Other:

5.5 — Anticipated Board Pushback

Toughest question the board will ask

CPO's planned answer

5.6 — PE PE Lens

Connection to VCP / investment thesis

Expected impact on exit multiple or narrative

Payback within PE hold period

Yes Partial No

If No — rationale for approval outside hold period