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What does technical debt cost your organization?

Calculate the hidden annual costs in under 2 minutes.

Team Context

Number of developers on your team

For salary estimation

Firefighting & Unplanned Work

30%

% of capacity spent on unplanned work

0% 80%

Delivery Friction

How often do you deploy to production?

15 min

Average wait time for CI/CD pipeline

0 min 120 min

Knowledge Concentration

Systems only one person understands

Onboarding Time

8 weeks

Weeks until new hires are productive

1 weeks 26 weeks

Your Technical Debt Cost

Total Annual Cost

€316,909 €428,757

per year

Cost per Developer

€31,691 €42,876

per developer / year

Budget Waste

~50%

of developer budget

High Significant action needed — hidden costs are putting substantial strain on your team.

Cost Breakdown

Firefighting & Unplanned Work — High €191,250 €258,750
Delivery Friction — High €77,478 €104,822
Knowledge Concentration — Moderate €33,469 €45,281
Onboarding Time — Moderate €14,712 €19,904

Impact Chain

The impact chain shows how technical debt creates cascading costs. Thicker arrows = higher cost share.

Messy Codebase
High
Knowledge Silos
€33,469 - €45,281 (Moderate)
Slower Delivery
€77,478 - €104,822 (High)
Unproductive Hires
€14,712 - €19,904 (Moderate)
More Firefighting
€191,250 - €258,750 (High)
Competitors Ahead
€316,909 - €428,757

Benchmark Comparison

Compare your values against industry averages. The green zone shows the healthy target range.

Healthy Range
Industry Average
Your Value
Firefighting & Unplanned Work Your Value: 30.0 · Industry Average: 23.0
Source: Stripe Developer Coefficient 2018
Delivery Friction Your Value: 3.0 · Industry Average: 2.0
Source: DORA State of DevOps Report 2024
Knowledge Concentration Your Value: 3.0 · Industry Average: 3.0
Source: Accelerate / Forsgren et al. 2018
Onboarding Time Your Value: 8.0 · Industry Average: 10.0
Source: SHRM 2022

3-Year Projection: Cost of Inaction

Without intervention, technical debt costs compound annually through accumulation effects.

€0€250k€500k€750k€1.0M€429k€317kYear 1€557k€364kYear 2€725k€419kYear 3
High estimate
Low estimate
Cost range
Cumulative Total (3 Years) €1,100,467 — €1,710,740

Based on 15–30% annual cost compounding. Sources: Stripe Developer Coefficient 2018, Accelerate / Forsgren et al. 2018.

How we calculate

Input Classification

Each input value falls into one of three categories:

InputTypeExplanation
Team SizeMeasuredDirect input — number of developers
Firefighting TimeMeasuredDirect input — percentage of unplanned work
Deploy FrequencyMeasuredDirect input — selected from options
CI Wait TimeMeasuredDirect input — minutes per pipeline run
Single-Point SystemsMeasuredDirect input — systems only one person understands
Onboarding DurationMeasuredDirect input — weeks until productive
RegionMeasuredDetermines salary and hourly rate assumptions (see table below)
Hourly RateEstimatedDerived from region and industry averages
Replacement CostEstimatedEstimated at 1.5x annual salary (SHRM benchmark)
Frustration AttritionBenchmarkedBenchmark: 25% increased attrition probability

Salary Assumptions by Region

Based on industry averages for software developers (full-time):

RegionAnnual Salary (avg)Hourly RateCurrency
DACH (DE/AT/CH)€75,000€43
Western Europe€65,000€37
Eastern Europe€35,000€20
United Kingdom£60,000£34£
USA$120,000$69$

Base calculation: 1,720 working hours per year (industry standard).

Range Calculation

We use +/-15% around the base value to express estimation uncertainty. No single model can precisely quantify hidden costs — the range makes the inherent imprecision transparent.

Lower bound = Base x 0.85 | Upper bound = Base x 1.15

Compounding Effect

Technical debt does not grow linearly — it creates cascading costs. We model 15-30% annual cost growth based on:

  • Stripe Developer Coefficient (2018): Developers lose 42% of their time to technical debt and maintenance
  • Accelerate / Forsgren et al. (2018): High technical debt correlates with exponentially increasing lead times

The lower value (15%) is conservative, the upper (30%) applies to organizations with growing codebases and no active refactoring.

Sources

All benchmarks and industry averages are based on cited sources:

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