Tracks/Track 2 - Product Manager / CPO/2-2
Track 2 - Product Manager / CPO

2-2: Cost of Delay & Prioritization

Stop relying on gut-feel. Use mathematical prioritization.

3 Lessons~45 minSupports Framework: AI Unit Economics
Sovereign Asset Pipeline TraceResearch β†’ Implementation
1. Research
2. Concept
3. Framework
AI Unit Economics
4. Diagnostic
PDI / APER Engine
5. Implementation

🎯 What You'll Learn

  • βœ“ Master WSJF pricing
  • βœ“ Calculate Cost of Delay
  • βœ“ Handle technical debt vs features
  • βœ“ Defend roadmaps to leadership
Free Preview - Lesson 1
1

Lesson 1: The Cost of Delay (CoD)

If you ship a feature 3 months late that generates $50,000/mo, your Cost of Delay is $150,000. Prioritization isn't just about ROI, it's about minimizing the financial penalty of waiting.

User-Business Value

The immediate revenue or retention saved.

Calculate in $ARR
Time Criticality

How the value decays over time (e.g., missing a holiday launch).

High / Medium / Low
Risk Reduction

Value gained by unblocking future work.

High priority for platform teams
πŸ“ Exercise

Calculate the Cost of Delay in pure dollars for your top 3 roadmap items.

2

Lesson 2: WSJF (Weighted Shortest Job First)

WSJF = Cost of Delay / Job Size. A massive feature with high value might lose to a tiny feature with medium value because the tiny feature ships immediately and starts compounding returns.

Job Duration (Size)

Estimated engineering effort.

Use T-shirt sizing translated to weeks
WSJF Score

The definitive ranking metric.

Sort highest to lowest
Batch Size Reduction

Breaking large epics down into smaller ships to improve WSJF.

Deliver value iteratively
πŸ“ Exercise

Take your current sprint backlog and recalculate the priority order strictly using WSJF.

3

Lesson 3: The 70/20/10 Allocation Matrix

Balancing feature development against technical debt and innovation. If you give engineering 0% for technical debt, velocity will inevitably grind to a halt.

Core Features

70% allocation to roadmap items driving ARR.

The primary engine
Technical Debt

20% allocation to refactoring and infrastructure.

Prevents velocity decay
Innovation Bets

10% allocation to high-risk, 10x potential experiments.

Protects against disruption
πŸ“ Exercise

Audit your team's time allocation over the last quarter. Map it against the 70/20/10 matrix.

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Telemetry Stream
Inference Architecture
01import { orchestrator } from '@exogram/core';
02
03const router = new AgentRouter({);
04strategy: 'COST_EFFICIENT_SLM',
05fallback: 'FRONTIER_MODEL'
06});
07
08await router.guardrail(payload);
+ 340%

Module Syllabus

Lesson 1: Lesson 1: The Cost of Delay (CoD)

If you ship a feature 3 months late that generates $50,000/mo, your Cost of Delay is $150,000. Prioritization isn't just about ROI, it's about minimizing the financial penalty of waiting.

15 MIN

Lesson 2: Lesson 2: WSJF (Weighted Shortest Job First)

WSJF = Cost of Delay / Job Size. A massive feature with high value might lose to a tiny feature with medium value because the tiny feature ships immediately and starts compounding returns.

20 MIN

Lesson 3: Lesson 3: The 70/20/10 Allocation Matrix

Balancing feature development against technical debt and innovation. If you give engineering 0% for technical debt, velocity will inevitably grind to a halt.

25 MIN
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Want to apply this to your organization with Cost of Delay & Prioritization?

Run a free diagnostic first. If the numbers concern you, book a session to build a remediation plan.

Richard Ewing: AI Economist & Capital Auditor