---
title: Stop Giving Product a Performance Pass
description: "For CEOs and GMs of software companies: product is part of the revenue engine, not support. Give it decision rights, measurable outcomes and a funding cadence."
image: https://www.drcpo.com/hubfs/blog-product-performance-pass.jpg
---

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ACADEMIC & TEACHING (Practice) Product Operating Model & Accountability (Pillar) CTO/VP Eng (Audience)

# Stop Giving Product a Performance Pass

![Ken Pulverman](https://www.drcpo.com/hs-fs/hubfs/ken-pulverman-avatar.jpg?width=48&height=48&name=ken-pulverman-avatar.jpg)

 Ken Pulverman

January 18, 2026

If your company sells software (or leverages software to make money), Product is not “support.” It’s part of the revenue engine and a fiduciary responsibility.

The fix is to **treat Product like a responsibility center**: define decision rights, define measurable outcomes, and run a governance cadence that forces stop/start decisions based on evidence. ([OpenStax, 2019;](https://www.drcpo.com/blog/-temporary-slug-dfa3ff4c-4eea-445d-89ba-ae99feecbf3d/%20https://openstax.org/books/principles-managerial-accounting/pages/9-3-describe-the-types-of-responsibility-centers)[Rogers & Blenko, 2006](https://hbr.org/2006/01/who-has-the-d-how-clear-decision-roles-enhance-organizational-performance))

**What to do (minimum viable reset):**

1. **Decision rights map** for product bets (who recommends / inputs / agrees / decides / performs). ([Rogers & Blenko, 2006](https://hbr.org/2006/01/who-has-the-d-how-clear-decision-roles-enhance-organizational-performance))<https://hbr.org/2006/01/who-has-the-d-how-clear-decision-roles-enhance-organizational-performance?utm_source=chatgpt.com><https://hbr.org/2006/01/who-has-the-d-how-clear-decision-roles-enhance-organizational-performance?utm_source=chatgpt.com>
2. **Outcome scorecard** that ties product work to business outcomes and customer outcomes. ([Kaplan & Norton, 1992](https://www.drcpo.com/blog/-temporary-slug-dfa3ff4c-4eea-445d-89ba-ae99feecbf3d/%20https://hbr.org/1992/01/the-balanced-scorecard-measures-that-drive-performance-2))
3. **Outcome cadence**: weekly learning + monthly outcomes + quarterly portfolio funding decisions. ([McKinsey, 2023)](https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-bottom-line-benefit-of-the-product-operating-model)

Want the full playbook + a completed vendor-ready RFI + a blank RFI template?  
[**Book a working session**](https://www.drcpo.com/contact) with DrCPO.com and/or get the toolkit on Substack.

**What this looks like in the business (symptoms)**

You’ll usually see 6–10 of these at once:

- Product success is defined as **shipping** (roadmap throughput) instead of outcome movement.
- Requests arrive as **solutions** (“build X”), and Product is expected to comply—not evaluate value.
- Exec reviews celebrate “delivered” even when adoption/retention/revenue didn’t move.
- Decision-making is slow because “everyone gets a vote,” so Product becomes the compromise function. ([Rogers & Blenko, 2006](https://hbr.org/2006/01/who-has-the-d-how-clear-decision-roles-enhance-organizational-performance))
- Teams optimize output metrics and unintentionally distort behavior (classic metrics failure modes). ([Manheim et al., 2023](https://pmc.ncbi.nlm.nih.gov/articles/PMC10591122/))

**How it impacts revenue and competitiveness**

When Product gets a “pass,” you get compounding damage:

- **Misallocated spend:** funding continues without proof, because there’s no outcome portfolio discipline. ([McKinsey, 2023a](https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-big-product-and-platform-shift-five-actions-to-get-the-transformation-right%20\)%20McKinsey%20%26%20Company))<https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-big-product-and-platform-shift-five-actions-to-get-the-transformation-right?utm_source=chatgpt.com>
- **Slow learning rate:** fewer validated decisions per quarter → slower growth and weaker differentiation. ([Thoughtworks, 2025](https://www.thoughtworks.com/en-us/insights/blog/agile-engineering-practices/from-features-to-outcomes-how-product-teams-can-deliver-real-business-value))
- **Accountability inversion:** engineering gets blamed for business outcomes; Product claims “we shipped what was asked.”
- **Operational drag:** unclear ownership increases handoffs and delays. ([McKinsey, 2024](https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/what-makes-product-teams-effective))

**Why it happens (root causes)**

This pattern is predictable when:

1. **Decision rights are implicit**, so Product can’t say “no,” can’t stop work, and can’t enforce tradeoffs. ([Rogers & Blenko, 2006](https://hbr.org/2006/01/who-has-the-d-how-clear-decision-roles-enhance-organizational-performance)<https://hbr.org/2006/01/who-has-the-d-how-clear-decision-roles-enhance-organizational-performance?utm_source=chatgpt.com>; [BCG, 2021](https://www.bcg.com/industries/public-sector/decision-rights-using-ovis-framework))
2. **Product is treated as a cost center**, but expected to deliver profit-center outcomes (phantom accountability). A responsibility system must match evaluation to controllable decisions. ([OpenStax, 2019](https://www.drcpo.com/blog/-temporary-slug-dfa3ff4c-4eea-445d-89ba-ae99feecbf3d/%20https://openstax.org/books/principles-managerial-accounting/pages/9-3-describe-the-types-of-responsibility-centers))
3. **Goals exist without measurement hygiene**, creating “scoreboard theater” and perverse incentives. ([Kaplan & Norton, 1992](https://hbr.org/1992/01/the-balanced-scorecard-measures-that-drive-performance-2); [Manheim et al., 2023](https://pmc.ncbi.nlm.nih.gov/articles/PMC10591122/))
4. **Teams lack outcome ownership**, so product work fragments across silos. Stream-aligned teams are designed to own outcomes end-to-end. ([Skelton & Pais, n.d.](https://teamtopologies.com/key-concepts))

**What you have to do (public, practical steps)**

**Step 1 — Declare Product a revenue engine *and* define the accountability model**

Write a one-page “Operating Agreement” that answers:

- What outcomes Product owns (business + customer outcomes)
- What decisions Product can make without escalation
- What evidence is required before funding/priority decisions

Use goals that improve performance (specific, challenging, measurable) and avoid vague “do more innovation” mandates. ([Locke & Latham, 2002](https://med.stanford.edu/content/dam/sm/s-spire/documents/PD.locke-and-latham-retrospective_Paper.pdf))

**Step 2 — Install decision rights (fast)**

Use a RAPID-style map:

- **Recommend:** PM/GM for the product area
- **Input:** Sales/CS/Eng/Finance
- **Agree:** Security/Legal/Platform (only when needed)
- **Decide:** CPO for product bets; CEO only for portfolio-level conflicts
- **Perform:** the cross-functional product team

This reduces decision latency and makes accountability real. ([Rogers & Blenko, 2006](https://hbr.org/2006/01/who-has-the-d-how-clear-decision-roles-enhance-organizational-performance))

**Step 3 — Replace roadmaps with “Bets + Measures”**

Every roadmap item must include:

- Customer/problem + target segment
- Hypothesis
- Leading indicators + lagging indicator (baseline + target)
- Decision rule (what would make us stop / change / double down)

Outcome orientation is now standard guidance for digital programs because “shipping” is not “done.” ([HBR, 2017;](https://hbr.org/2017/02/you-need-to-manage-digital-projects-for-outcomes-not-outputs)[Atlassian, n.d.](https://www.atlassian.com/software/jira/product-discovery/resources/handbook/outcomes))<https://www.atlassian.com/software/jira/product-discovery/resources/handbook/outcomes?utm_source=chatgpt.com>

**Step 4 — Build the product scorecard (business + customer + technical health)**

A practical structure:

- **Business outcomes:** revenue expansion, retention drivers, conversion, margin
- **Customer outcomes:** time-to-value, activation, task success, satisfaction
- **Technical health:** delivery performance and reliability as enabling measures, not “success.” ([DORA, 2024)](https://dora.dev/research/2024/dora-report/)  
  Balanced Scorecard is a proven framing device to avoid “one metric to rule them all.”   
  ([Kaplan & Norton, 1992](https://hbr.org/1992/01/the-balanced-scorecard-measures-that-drive-performance-2))

**Step 5 — Run an operating cadence that forces accountability**

- **Weekly:** product bet review (evidence, learning, next decision)
- **Monthly:** outcome review (what moved, what didn’t, what we stopped)
- **Quarterly:** portfolio review (funding shifts, kill list, strategic pivots)

Mature product operating models explicitly tie teams to business outcomes end-to-end. ([McKinsey, 2023b](https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-bottom-line-benefit-of-the-product-operating-model))

**Step 6 — Use OKRs as a measurement tool, not a moral judgment**

OKRs are meant to be measurable, public, and graded; low grades are data—not a crime. ([Google re:Work, n.d.)](https://rework.withgoogle.com/intl/en/guides/set-goals-with-okrs%20\)%20Rework)

**Our approach (DrCPO.com offer)**

We help CEOs/CPOs/CTOs make Product **revenue-accountable without creating bureaucracy**:

- Decision rights + governance reset (fast, explicit, enforceable)
- Outcome scorecard + baselines + review pack
- Roadmap “bets + measures” standard + decision log
- Capability transfer so the system runs without consultants

**Call to action:** **Book a working session** + get the full toolkit on Substack (**$25/mo**) with a completed RFI + blank RFI + vendor scorecard.

 

**References**

Atlassian. (n.d.). *Outcomes vs output: Driving value in product development*.  
[https://www.atlassian.com/software/jira/product-discovery/resources/handbook/outcomes](https://www.atlassian.com/software/jira/product-discovery/resources/handbook/outcomes?utm_source=chatgpt.com)

Boston Consulting Group. (2021). *Clarifying decision rights with the OVIS framework*.  
[https://www.bcg.com/industries/public-sector/decision-rights-using-ovis-framework](https://www.bcg.com/industries/public-sector/decision-rights-using-ovis-framework?utm_source=chatgpt.com)

DORA. (2024). *Accelerate State of DevOps Report 2024*.  
[https://dora.dev/research/2024/dora-report/](https://dora.dev/research/2024/dora-report/?utm_source=chatgpt.com)

Google re:Work. (n.d.). *Set goals with OKRs*.  
[https://rework.withgoogle.com/intl/en/guides/set-goals-with-okrs](https://rework.withgoogle.com/intl/en/guides/set-goals-with-okrs?utm_source=chatgpt.com)

Harvard Business Review. (2017). *You need to manage digital projects for outcomes, not outputs*.  
[https://hbr.org/2017/02/you-need-to-manage-digital-projects-for-outcomes-not-outputs](https://hbr.org/2017/02/you-need-to-manage-digital-projects-for-outcomes-not-outputs?utm_source=chatgpt.com)

Kaplan, R. S., & Norton, D. P. (1992). *The Balanced Scorecard—Measures that drive performance*. *Harvard Business Review*.  
[https://hbr.org/1992/01/the-balanced-scorecard-measures-that-drive-performance-2](https://hbr.org/1992/01/the-balanced-scorecard-measures-that-drive-performance-2?utm_source=chatgpt.com)

Locke, E. A., & Latham, G. P. (2002). *Building a practically useful theory of goal setting and task motivation: A 35-year odyssey*.  
[https://med.stanford.edu/content/dam/sm/s-spire/documents/PD.locke-and-latham-retrospective\_Paper.pdf](https://med.stanford.edu/content/dam/sm/s-spire/documents/PD.locke-and-latham-retrospective_Paper.pdf?utm_source=chatgpt.com)

Manheim, D., Garrabrant, S., & Snyder-Beattie, A. (2023). *Building less-flawed metrics: Understanding and creating metrics in complex systems*.  
[https://pmc.ncbi.nlm.nih.gov/articles/PMC10591122/](https://pmc.ncbi.nlm.nih.gov/articles/PMC10591122/?utm_source=chatgpt.com)

McKinsey & Company. (2023a). *The big product and platform shift: Five actions to get the transformation right*.  
[https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-big-product-and-platform-shift-five-actions-to-get-the-transformation-right](https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-big-product-and-platform-shift-five-actions-to-get-the-transformation-right?utm_source=chatgpt.com)

McKinsey & Company. (2023b). *The bottom-line benefit of the product operating model*.  
[https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-bottom-line-benefit-of-the-product-operating-model](https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-bottom-line-benefit-of-the-product-operating-model?utm_source=chatgpt.com)

McKinsey & Company. (2024). *What makes product teams effective?*  
[https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/what-makes-product-teams-effective](https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/what-makes-product-teams-effective?utm_source=chatgpt.com)

OpenStax. (2019). *9.3 Describe the types of responsibility centers*. In *Principles of Managerial Accounting*.  
[https://openstax.org/books/principles-managerial-accounting/pages/9-3-describe-the-types-of-responsibility-centers](https://openstax.org/books/principles-managerial-accounting/pages/9-3-describe-the-types-of-responsibility-centers?utm_source=chatgpt.com)

OpenStax. (2019). *9.4 Describe the effects of various decisions on performance evaluation of responsibility centers*. In *Principles of Managerial Accounting*.  
[https://openstax.org/books/principles-managerial-accounting/pages/9-4-describe-the-effects-of-various-decisions-on-performance-evaluation-of-responsibility-centers](https://openstax.org/books/principles-managerial-accounting/pages/9-4-describe-the-effects-of-various-decisions-on-performance-evaluation-of-responsibility-centers?utm_source=chatgpt.com)

Rogers, P., & Blenko, M. W. (2006). *Who has the D? How clear decision roles enhance organizational performance*. *Harvard Business Review*.  
[https://hbr.org/2006/01/who-has-the-d-how-clear-decision-roles-enhance-organizational-performance](https://hbr.org/2006/01/who-has-the-d-how-clear-decision-roles-enhance-organizational-performance?utm_source=chatgpt.com)

Skelton, M., & Pais, M. (n.d.). *Key concepts (Team Topologies)*.  
[https://teamtopologies.com/key-concepts](https://teamtopologies.com/key-concepts?utm_source=chatgpt.com)

Thoughtworks. (2025). *From features to outcomes: How product teams can deliver real business value*.  
[https://www.thoughtworks.com/en-us/insights/blog/agile-engineering-practices/from-features-to-outcomes-how-product-teams-can-deliver-real-business-value](https://www.thoughtworks.com/en-us/insights/blog/agile-engineering-practices/from-features-to-outcomes-how-product-teams-can-deliver-real-business-value?utm_source=chatgpt.com)

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