Thursday, May 7, 2026

AI Driven PM: S2E6 - Net Operating Value

Your Project Isn't Competing Against a Standard. It's Competing Against Everything Else.

Have you ever had a project going really well—hitting milestones, staying on budget, team is energized—and an executive pulls the plug?

You're furious. You're confused. You think, "How could they kill this? We were succeeding."

Here's the uncomfortable answer: Because they weren't evaluating your project. They were evaluating your portfolio.

And those are completely different conversations.

Most project managers optimize in isolation. We focus on our project. Our timeline. Our velocity. Our scope. We find our lane and we stay in it.

But executives? They're not optimizing your project.

They're optimizing across a dozen projects competing for the same people, the same budget, and the same strategic window.

And without a shared language for value—one that accounts for all the trade-offs—PMs and executives talk right past each other.

Your project looks green. Their portfolio looks broken.

That's the gap. And that's exactly what Net Operating Value is designed to close.

What Is Net Operating Value?

Net Operating Value (NOV) is a metric I helped develop to tell a more complete story about project value.

Here's the formula:

NOV = Expected Value − Effort Cost − Risk Cost − Opportunity Cost

Let's break that down:

Expected Value: Revenue, cost savings, strategic positioning, user impact. Everything you gain if the project succeeds.

Effort Cost: Budget, team capacity, person-months, timeline. Everything you spend to get there.

Risk Cost: Probability of failure or underperformance × the financial impact of that failure. What you might lose.

Opportunity Cost: What you are not building because you're building this.

That last one is the one most business cases never include. And it's the one that changes everything.

ROI asks, "Is this worth doing?"

NOV asks, "Is this the best thing we could be doing with these resources right now?"

That's a completely different question.

The AI Capacity Trap

Before we get into the prompts, I want to call out something I'm seeing happen in organizations right now.

They're seeing AI increase team velocity. Story points per sprint are going up. Delivery speed is improving.

And their first instinct is: Let's throw more projects at the team.

I've already had clients say, "If our team's capacity was 270 points before AI, shouldn't it be 390 now? Let's plan accordingly."

And look—maybe. You might see velocity increases. But here's the question you're not asking:

Can we build it? That's the wrong question. The right question is: Should we build it, given everything else we could build?

More capacity doesn't mean more projects. It means more opportunities to choose poorly.

The 2-1-0 philosophy exists precisely for this moment: You need to be two full quarters ahead in ideas competing for quarterly planning, and two full sprints ahead in fully defined, designed, and architected user stories.

Not so you can do more. So you have the tension to choose better.

Can we do this feature? Sure. Should we—given what else is in the queue? That's the real conversation.

Now Let's Do the Math

I ran three prompts live against our Social Wishing app—the bucket-list social platform we've been building throughout this season.

And the results were... illuminating.


Prompt 1: NOV Calculator (Your Non-Negotiable)

What it does: Calculates a full NOV assessment—expected value, effort cost, risk cost, and opportunity cost—and compares your project to a baseline threshold for approval.

I gave it this context:

  • 10,000 users in 90 days
  • 4.99/month premium, 10% conversion)
  • $300,000 budget, six months, eight people
  • Fully dependent on Facebook API
  • Opportunity cost: A flagship product feature we're not building that could drive $500,000 in upsell revenue with 80% confidence

ChatGPT asked me:

  • "What's your gross margin on subscription revenue?" (70%)
  • "What's your expected monthly churn rate?" (30%)
  • "Are you planning paid acquisition or assuming organic?" (Paid, $11 CAC)
  • "If Facebook API access is restricted, what percent of core functionality breaks?" (Total shutdown)

Then it ran the math.

Unit economics summary:

  • Monthly price × 70% margin ÷ 30% churn = $11 lifetime value per premium user
  • CAC = $11
  • Net unit contribution per premium user: 63 cents

ChatGPT's verdict:

"You're spending 50,000 in premium lifetime contribution. This is deeply negative unit economics."

Claude's NOV calculation: Negative $702,000.

"This project has a strongly negative NOV. Your alternative project produces positive expected contribution of $280,000 with far lower uncertainty. Build the flagship feature."

And just like that—in under four minutes—we had a business case analysis that would have taken a finance team days to produce.

That's the power of the NOV calculator.


Prompt 2: Value Assumption Stress Test

This is the one I love most.

It doesn't just tell you what your project is worth. It tells you which assumptions, if wrong, kill the entire value case—and what you can do about it.

I gave it the Social Wishing business case with these underlying assumptions:

  • 10,000 users in 90 days via viral Facebook sharing
  • 30% wish fulfillment rate
  • 10% premium conversion
  • Users will trust the platform with personal bucket list information
  • Facebook maintains stable API access
  • Organic network effects keep CAC low

Then I answered honestly:

  • Never launched a consumer social product before
  • No evidence users will share wishes—just a hunch
  • No waitlist, no beta, no validated demand
  • Not solving an urgent problem—creating new behavior
  • No relationship with Facebook's API team

Claude's response:

"Good. Now we're thinking clearly. You just removed most of the illusion from the business case."

Then it walked through each assumption with best case, expected case, and worst case scenarios.

And then it said something I think every PM needs to hear:

"This is not a 25,000 behavior experiment."

It recommended a 45-day validation sprint instead:

  • Build a landing page, spend $3-5K in ads, measure cost per email signup
  • Start a private community of 100 people manually, see who posts wishes and who engages
  • If cost per signup exceeds $5-7 or organic growth assumptions weaken, you have your answer

Then it gave me the framing for the sponsor conversation:

"The question you should be bringing to your sponsor isn't 'Should we build this?' It's 'Can we spend 285,000?'"

That one reframe changes the entire conversation.

You're not saying no to the idea. You're saying yes to being smarter about how you validate it.

How many of us have had a CIO come back from a conference with a "cool thing" they saw? And six months and $300K later, we find out nobody actually wanted it?

This is how you avoid that.


Prompt 3: Portfolio Trade-Off Analyzer

Now let's zoom out. Three projects. One six-month window. Capacity for two.

The options:

  • Option A: Social Wishing (new product) — 300K cost, high risk
  • Option B: Flagship product feature (upsell to existing customers) — 200K cost, low risk
  • Option C: Infrastructure modernization (tech debt reduction) — 250K cost, medium risk

Which two do you choose?

ChatGPT and Claude gave me the same answer:

Option B + Option C. Kill Option A in its current form.

And here's the framing that I would use in the executive meeting:

"Option B is the cash generator. Option C is the capability builder. Together they fund growth AND protect our future velocity. That's a balanced portfolio."

That's not a financial argument. That's a story. Two sentences. Executives get it immediately.

For communicating the trade-off on Social Wishing, both tools gave me the same counsel:

"Don't frame this as killing creativity. Frame it as disciplined capital allocation."

Script:

  • "Our priority this year is predictable revenue growth and operational stability."
  • "For every dollar invested in the flagship feature, we get approximately $2 in risk-adjusted value. Social Wishing does not meet that threshold today."
  • "Social Wishing is interesting—but unvalidated. We will test demand with a capped experiment before committing full capital."

That's not a no. That's a responsible yes.


The Full Circle Moment

We spent all season building the Social Wishing dream. We clarified the vision. We wrote the team motivation story. We built the backlog. We ran the health diagnostic.

And now the NOV says: Don't build it. Not yet. Validate it first.

That's not failure. That's exactly how great project management works.

Dreams deserve data before dollars.

And the PMs who can have that conversation with their sponsors—who can say "here's the math, here's the risk, here's the smarter path forward"—those are the PMs executives trust with their most important projects.


Your Non-Negotiable Experiment This Week

Run the NOV Calculator (Prompt 1) on a current project.

Then identify: What is the one assumption that, if wrong, kills the entire value case?

Test it. Find the cheapest way to validate or invalidate it before committing more resources.

Here's what I want you to notice:

  1. Does calculating NOV change how you talk about your project's value?
  2. How do executives respond when your business case includes opportunity cost?
  3. Did the stress test surface an assumption you've been avoiding?

Because here's the truth: Protecting your project isn't about defending it. It's about proving it deserves the resources over everything else competing for them.

That's thinking like a portfolio manager.

And that's how you earn a seat at the table.


Next time: Influence without authority—how to lead when you can't command. It wasn't your idea. They're not your people. It's not your budget. So how do you actually move a project forward?

Want these prompts ready to copy/paste? Head to PMThatWorks.com for the full library.

Now go run the math. Your dream deserves to know if it can stand up to the numbers.

— Rick A. Morris


The Prompts (Copy/Paste Ready)

Prompt 1 - NOV Calculator

You are a portfolio strategist and financial analyst for project investments.

First, ask me 5–7 clarifying questions about the project's expected benefits, costs, risks, and what else the organization could be doing with the same resources.

Then calculate a net operating value assessment by answering:

  1. What is the expected value of this project? (revenue, cost savings, strategic value, user impact — quantify as much as possible)
  2. What is the total effort cost? (budget, team capacity, person-months, timeline)
  3. What is the risk cost? (probability of failure or underperformance × financial impact)
  4. What is the opportunity cost? (what alternative projects or initiatives are we not doing because of this?)
  5. What is the calculated NOV, and how does it compare to a baseline threshold for project approval?
  6. What assumptions are most uncertain, and how would changing them affect the NOV?

Project context: [Enter Context]


Prompt 2 - Value Assumption Stress Test

You are a critical thinking coach and risk analyst.

Ask me 3–4 questions about the value assumptions underlying my project's business case.

Then stress test those assumptions by answering:

  1. What are the 3–5 core assumptions that must be true for this project to deliver its expected value?
  2. For each assumption, what is the best case, expected case, and worst case scenario?
  3. How sensitive is the project's NOV to changes in each assumption?
  4. What evidence or data exists to validate or challenge each assumption?
  5. What experiments or MVPs could we run to de-risk the biggest assumptions before committing fully?

Project business case: [Enter Business Case and Assumptions]


Prompt 3 - Portfolio Trade-Off Analyzer

You are a portfolio management consultant helping executives make investment decisions.

Ask me 3–4 questions about the competing projects or initiatives in our portfolio and the organization's strategic priorities.

Then provide a trade-off analysis answering:

  1. How do the competing projects compare on NOV?
  2. What projects are must-dos (strategic imperatives) vs. nice-to-haves?
  3. What is the optimal portfolio mix given current capacity and risk tolerance?
  4. What projects should we greenlight, pause, or kill based on NOV?
  5. How do I communicate trade-offs to stakeholders in a way that builds alignment rather than resentment?

Portfolio context: [Enter Competing Projects and Constraints]

 

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