Catalog
concept#Product#Architecture#Delivery#Governance

Cost Drivers

A concept for identifying the structural factors that determine cost levels and allocation. It supports prioritising optimization, accurate costing and architecture-aware decision making.

Cost drivers are the underlying factors that determine the level and structure of costs in a product, service, or system.
Established
Medium

Classification

  • Medium
  • Business
  • Architectural
  • Intermediate

Technical context

Monitoring tools (e.g. Prometheus, Datadog)Financial and ERP systemsProduct and ticketing systems for effort allocation

Principles & goals

Focus on measurable drivers instead of blanket cost assumptions.Transparent allocation increases accountability and controllability.Choose granularity so that benefit outweighs measurement effort.
Discovery
Enterprise, Domain, Team

Use cases & scenarios

Compromises

  • Lack of governance can lead to inconsistent metrics and wrong decisions.
  • Overemphasis on short-term savings can endanger long-term quality.
  • Incorrect attributions distort cost pictures and ownership.
  • Proceed iteratively: pilot projects before broad rollout.
  • Automated reporting to reduce manual effort.
  • Cross-functional collaboration between finance, product and engineering.

I/O & resources

  • Monitoring and consumption data (CPU, memory, bandwidth)
  • Financial and accounting data
  • Process and lead times
  • Published cost-driver matrix
  • Recommendations for architecture and product decisions
  • KPIs and dashboards for ongoing monitoring

Description

Cost drivers are the underlying factors that determine the level and structure of costs in a product, service, or system. Identifying them enables targeted optimisation, accurate cost allocation and informed decision-making across architecture and product planning. Focus areas include resource consumption, process complexity and external price drivers.

✔

  • Better decision basis for prioritisation and investments.
  • Targeted identification of cost drivers enables effective optimisation.
  • Improved cost allocation yields fairer product and feature valuation.

✖

  • Too much detail increases measurement effort disproportionately.
  • Good data basis required; incomplete measurements distort results.
  • Not all drivers are controllable short-term (e.g. market prices).

  • Cost per feature

    Sum of direct and indirect costs allocated to a feature.

  • Total Cost of Ownership (TCO)

    Long-term total costs over the lifecycle of a system or product.

  • Cost per user/transaction

    Average cost relative to a user or transaction unit.

Cloud cost analysis for microservices

Identifying resources triggered by individual services and allocating them to feature costs.

Activity-based costing in product costing

Breakdown of processes and activities to more precisely assign indirect costs.

Operational optimisation through process simplification

Reducing process complexity as a lever to lower recurring costs.

1

Review data basis and define missing metrics.

2

Define cost owners and responsibilities.

3

Conduct pilot analysis and prioritise measures.

⚠️ Technical debt & bottlenecks

  • Manual cost allocation in spreadsheets instead of automated reporting.
  • Outdated monitoring tools lacking required metrics.
  • Short-term savings that accumulate technical debt.
High infrastructure costsComplex integration processesUnclear cost ownership
  • Using only infrastructure costs to evaluate a feature.
  • Short-term saving targets causing systematic quality degradation.
  • Manipulating metrics to avoid budget cuts.
  • Confusing cause and effect when costs change.
  • Ignoring external influence factors like market prices.
  • Insufficient alignment between teams leads to conflicting data.
Fundamentals of cost accounting and bookkeepingData analysis and monitoring skillsArchitecture understanding and product management experience
Resource consumption and scalabilityProcess and integration complexityOperational and licensing costs
  • • Available measurement data limited by monitoring solutions.
  • • Regulatory requirements may constrain cost strategies.
  • • Budget cycles and reporting deadlines limit flexibility.