Opportunity-Cost Prioritization
Choose the best use of leverage, not merely another positive return
- Difficulty
- Moderate
- Time to result
- ~weeks to results
- Steps
- 6
- Confidence
- 98%
Opportunity-Cost Prioritization raises the decision threshold for high-leverage work. A task with positive ROI only proves that its value exceeds the time invested; in a role with hundreds of such options, that says little about whether it should be chosen. ROI ratios can also bias plans toward quick wins because reducing time in the denominator makes returns look attractive. Opportunity cost asks a stronger question: what is the value of the best available option minus the value of the option selected? Instead of asking whether work is a good use of time, ask whether it is the best use. Because the best option may be ambiguous, leaders should protect exploration capacity with rough portfolio allocations. Doshi gives an adaptable example of 60% incremental improvements, 30% big initiatives, and 10% stability and infrastructure, then lets teams propose plans inside those boundaries.
Origin
Doshi distilled this model after observing Patrick at Stripe and seeing teams repeatedly choose clear, positive-ROI work over ambiguous opportunities. At Stripe Connect, shifting the team's attention toward a large, scary marketplace-payments need revealed an opportunity that quick-win planning would have missed.
Core principles
- 01Positive ROI is too low a bar for a high-leverage role
- 02Ratio thinking favors quick wins by shrinking the time denominator
- 03Opportunity cost compares the chosen option with the best alternative
- 04Ambiguity can hide trajectory-changing opportunities
- 05Allocation guardrails create permission to explore
- 06Opportunity cost is a thinking tool, not a spreadsheet estimate
How to run it
- 1
List the plausible alternatives
Identify the safe incremental work and the less-defined opportunities competing for the same time. Include options that require discovery before their value becomes clear.
Pro tip Ask customers where needs are likely to grow, not only which current feature is easiest to improve.
Watch out A backlog of well-specified tasks is not a complete opportunity set.
- 2
Reject positive ROI as the decision rule
Acknowledge that many options create more value than they cost. Do not let that weak threshold decide how scarce, high-leverage time is allocated.
Pro tip Notice when 'quick win' is functioning as the entire argument for a task.
Watch out Quick wins are not bad; a plate filled with them is the failure mode.
- 3
Ask the best-use question
Compare each chosen option with the strongest alternative. Replace 'Is this a good use of time?' with 'Is this the best use of time available to us?'
Pro tip Use the question qualitatively; Doshi advises against pretending opportunity cost can be quantified precisely.
Watch out A false numerical estimate can disguise uncertainty rather than improve the choice.
- 4
Investigate the ambiguous upside
Give trajectory-changing ideas enough discovery work to become evaluable. Do not reject them simply because the small initiatives arrive with cleaner estimates.
Pro tip Look for one or two big initiatives rather than spreading protected capacity across five vague bets.
Watch out Ambiguity alone is not evidence of upside; seek customer and strategic signals.
- 5
Create allocation guardrails
Set rough percentages for incremental improvements, big initiatives, and stability or infrastructure based on the strategy and market. Treat the numbers as contextual guidance, not a universal formula.
Pro tip A 60/30/10 split can be a useful starting example, but choose the allocation your situation requires.
Watch out Do not copy Google's or Doshi's percentages without considering your strategy and operating condition.
- 6
Give teams room to plan
Ask teams to return with plans that respect the allocation. The protected big-initiative bucket gives explicit permission to propose work that quick-win planning would crowd out.
Pro tip Clarify strategy before setting the allocation so teams know what kind of upside matters.
Watch out Protected capacity without strategic direction can become an arbitrary innovation quota.
In the wild
When Doshi joined Stripe Connect, the team was doing many positive-ROI tasks. Customer conversations suggested a growing need for more flexible marketplace-payment management, so he pushed the team to investigate the larger, less-defined project. Further work showed that it was a huge opportunity the quick-win mindset would not have selected.
→ The team pursued a major opportunity by minimizing opportunity cost rather than maximizing the number of safe returns.
A leader asks a team to target roughly 60% of its time on incremental improvements, 30% on one or two big new initiatives, and 10% on stability and infrastructure. The exact numbers are contextual, but the explicit big-initiative allocation prevents extra quick wins from consuming all available capacity.
→ Teams receive permission and space to return with ambitious proposals while maintaining core product and infrastructure work.
Common mistakes
Equating positive ROI with priority
In a high-leverage role, hundreds of tasks can clear the positive-return bar. Selection requires comparison with the best forgone alternative.
Quantifying unknowable opportunity cost
Doshi calls precise quantification a lost cause. The model is meant to improve the planning question and capacity allocation, not add a speculative spreadsheet column.
Copying an allocation mechanically
The percentages should reflect strategy, context, and market conditions. A remembered 70/20/10 or 60/30/10 split is guidance, not a law.
Is it for you?
Best for
Founders, product leaders, and teams deciding how to allocate a quarter, half, year, or scarce leadership attention.
Not ideal for
Situations with one mandatory objective, no meaningful alternatives, or urgent operational work that must be completed immediately.
From the episode
Shreyas Doshi on pre-mortems, the LNO framework, the three levels of product work, why most execution problems are strategy problems, and ROI vs. opportunity cost thinking