Your platform saves developers 2 hours per deployment. At $100/hour, that’s $200 saved.
But what if the developer would have gladly “paid” 4 hours to avoid the old manual process? The $200 you measured is real—but you missed another $200 of value.
That hidden $200 is consumer surplus. And it explains why platforms feel essential even when the ROI spreadsheet looks marginal.
What Is Consumer Surplus? ¶
Consumer surplus is the difference between what someone is willing to pay and what they actually pay.
Willingness to pay: $50 for this coffee
Actual price: $5
Consumer surplus: $45 (value captured by consumer)
The consumer got $45 of value that never shows up in the transaction.
Applied to Developer Platforms ¶
Developers don’t pay cash for internal platforms. They “pay” in time, effort, and cognitive load.
Developer's willingness to "pay" (in time):
"I'd spend 4 hours to set up CI/CD myself"
Actual "cost" with platform:
"It takes 10 minutes"
Time "paid": 10 minutes
Willingness to pay: 4 hours (240 minutes)
Developer surplus: 230 minutes = 3.8 hours
Traditional ROI captures:
- Time saved: 4 hours → 10 minutes = 3.8 hours saved
But this assumes the “willingness to pay” equals the “old way.” It often doesn’t.
Where ROI Falls Short ¶
The Substitution Problem ¶
ROI compares: Platform vs. The Old Way
But “the old way” isn’t the developer’s only alternative:
Options without platform:
A. Do it manually (4 hours)
B. Skip it entirely (0 hours, but consequences)
C. Use a crappy workaround (1 hour, but tech debt)
D. Ask someone else to do it (30 minutes, but social cost)
If developers would choose option B (skip it), the platform isn’t saving 4 hours—it’s enabling something that wouldn’t happen at all.
ROI calculation: 4 hours saved
Reality: Feature wouldn't ship without platform
Actual value: The entire feature's revenue
The Enablement Problem ¶
Some platform value isn’t about doing things faster. It’s about doing things that weren’t possible before.
Before platform:
- Deployments: 1/week (Friday afternoon, all hands on deck)
- Experimentation: Rare (too risky)
- Rollback: Manual, scary, 2-hour process
After platform:
- Deployments: 10/day (automated, boring)
- Experimentation: Constant (easy to test and revert)
- Rollback: One click, 30 seconds
How do you calculate ROI on “experimentation is now possible”? The surplus is enormous but unmeasured.
The Cognitive Load Problem ¶
Developer time isn’t fungible. An hour of “fighting infrastructure” ≠ an hour of “building features.”
Developer's internal experience:
Fighting infrastructure:
- Frustrating
- Draining
- Makes them want to quit
- Leads to "why am I here?" thoughts
Building features:
- Engaging
- Energizing
- Makes them want to stay
- Leads to "I shipped something!" satisfaction
A platform that eliminates 1 hour of infrastructure fighting might free up 2 hours of productive feature work (because the developer isn’t mentally drained).
ROI captures: 1 hour saved Surplus includes: Energy preservation, job satisfaction, retention
Measuring Surplus (Approximately) ¶
You can’t measure surplus directly, but you can approximate it.
Method 1: Willingness to Pay Survey ¶
Ask developers: “How much time would you spend to solve this problem without the platform?”
Survey question:
"If the platform didn't exist, how would you handle deployments?"
Responses:
- 30% say "manual process, 4 hours each"
- 40% say "would build something custom, 2 days"
- 20% say "would push less often"
- 10% say "would find another job"
Aggregate willingness to pay is higher than the “old way” alone suggests.
Method 2: Revealed Preference ¶
What do developers actually do when given options?
Observation:
Platform A: Easy to use, limited features
Platform B: Hard to use, full features
80% of developers choose A, even when B would be "better"
Implication:
Ease of use has high surplus value
Developers would "pay" a lot to avoid complexity
Method 3: Adoption Without Mandate ¶
If developers adopt the platform without being forced, surplus must exceed “cost.”
Adoption scenarios:
Mandated: Surplus unknown (could be negative)
Optional, adopted: Surplus > 0 (revealed preference)
Optional, viral: Surplus >> 0 (actively recommended)
Track organic adoption as a surplus signal.
Method 4: Exit Interview Mining ¶
When developers leave, what do they mention?
"The tooling here was great, I'll miss it"
→ Surplus was high, platform created retention value
"The infrastructure was a nightmare"
→ Surplus was negative, platform was a liability
Quantifying Total Platform Value ¶
Total value = Measured savings + Unmeasured surplus
A Framework ¶
Platform Value = Cost Savings + Time Savings + Enablement Value + Surplus
Where:
Cost Savings: Direct cost reduction (infra spend, tooling licenses)
Time Savings: Hours saved × hourly rate
Enablement Value: Value of things now possible that weren't before
Surplus: Willingness to pay - Actual "payment"
Example Calculation ¶
Platform: Internal CI/CD system
Measured (traditional ROI):
Time saved per deploy: 3 hours → 10 minutes
Deploys per month: 500
Hours saved: 1,417 hours/month
At $100/hour: $141,700/month
Enablement (estimated):
Additional deploys enabled: 300/month (wouldn't happen without platform)
Value per additional deploy: $500 (faster features, faster fixes)
Enablement value: $150,000/month
Surplus (estimated):
Developer satisfaction increase: 20% (survey)
Retention improvement: 10% less turnover
Turnover cost avoided: 2 devs × $50K = $100K/year = $8,300/month
Cognitive load reduction: Est. 15% productivity boost
On 50 devs × $20K/month: $150,000/month
Total platform value:
Measured: $141,700
Enablement: $150,000
Surplus (retention): $8,300
Surplus (cognitive): $150,000
Total: $450,000/month
Traditional ROI saw: $141,700/month
Actual value: $450,000/month (3.2x higher)
Why Surplus Matters for Platform Teams ¶
Budget Conversations ¶
Traditional pitch:
“The platform saves 1,400 hours per month, worth $142K.”
Surplus-aware pitch:
“The platform saves $142K in direct time savings. But it also enables 300 additional deployments worth $150K in faster delivery, and improves developer satisfaction enough to reduce turnover and boost productivity—conservatively another $150K. Total value is closer to $450K.”
Build vs Buy Decisions ¶
Build platform in-house: $200K/year
Buy commercial platform: $300K/year
Difference: $100K
Traditional analysis: "Build, it's $100K cheaper"
Surplus analysis:
Commercial platform:
- Better UX = higher developer surplus
- Less cognitive load = more productivity
- Proven = less risk
Estimated surplus difference: $150K/year
Total: Buy is actually $50K better when surplus is included.
Feature Prioritization ¶
Feature A: Saves 100 hours/month ($10K)
Feature B: Reduces friction (no direct time savings)
Traditional analysis: Feature A wins
Surplus analysis:
Feature B:
- Eliminates top developer complaint
- Would "pay" 200 hours of frustration to remove
- Surplus value: $20K equivalent
Feature B actually creates more value.
The Surplus Signals ¶
Since you can’t measure surplus directly, track leading indicators:
Developer NPS ¶
"On a scale of 0-10, how likely are you to recommend this platform to a colleague?"
NPS correlates with surplus:
High NPS: Surplus exceeds expectations
Low NPS: Surplus below expectations (or negative)
Organic Adoption Rate ¶
Teams using platform voluntarily:
Month 1: 5 teams (mandated)
Month 3: 12 teams (word of mouth)
Month 6: 25 teams (everyone wants in)
Rising organic adoption = surplus is real and significant
Support Ticket Sentiment ¶
Tickets about platform:
"How do I do X?" - Neutral
"X is broken" - Negative
"Can you add Y? I love this thing" - Positive surplus signal
Workaround Detection ¶
Are developers building workarounds?
Yes → Platform surplus is negative in that area
No → Platform is sufficient
Workarounds reveal where developers’ willingness to pay exceeds what the platform provides.
Capturing More Surplus ¶
If surplus exists, you can try to capture it:
Option 1: Internal Pricing ¶
Charge teams for platform usage:
Platform cost: $500K/year
Teams served: 50
Flat fee: $10K/team/year
Alternative: Usage-based pricing
Per deployment: $5
Per environment: $100/month
If teams willingly pay → Surplus exceeded price
If adoption drops → Price exceeded surplus
Internal pricing reveals willingness to pay.
Option 2: Premium Tiers ¶
Offer free and premium versions:
Free tier:
- Basic CI/CD
- Shared resources
- Best-effort support
Premium tier ($500/month):
- Advanced features
- Dedicated resources
- Priority support
Who upgrades? Teams with high surplus for those features.
Option 3: Expand the Platform ¶
If surplus exists, there’s room to add features:
Current platform: CI/CD
Developer surplus: High (they love it)
Opportunity: Add deployment environments
- Developers would "pay" a lot for easy environments
- Currently hacking it themselves
- Adding this captures more surplus (creates more value)
Summary ¶
Consumer surplus is the hidden value of your platform—what developers would pay minus what they actually pay.
| What ROI Measures | What Surplus Adds |
|---|---|
| Time savings | Willingness to pay (often higher) |
| Cost reduction | Enablement (new things possible) |
| Efficiency | Cognitive load reduction |
| Direct output | Retention value |
| Satisfaction value |
Why it matters:
Platform value = Measured ROI + Unmeasured Surplus
For most platforms:
Measured ROI: $X
Unmeasured Surplus: $2-3X
Total value is often 3-4x what the spreadsheet shows.
Signals of surplus:
- High NPS
- Organic adoption
- “Can you add…” requests
- Absence of workarounds
- Developer retention
If your platform feels essential but ROI looks marginal, the surplus is probably enormous. You’re just not measuring it.
And that surplus is real value—even if it never shows up on a spreadsheet.