Gap Analysis
Structured method to identify and prioritize deviations between current and desired states.
Classification
- ComplexityMedium
- Impact areaOrganizational
- Decision typeOrganizational
- Organizational maturityIntermediate
Technical context
Principles & goals
Use cases & scenarios
Compromises
- Wrong prioritization due to incomplete information
- Stakeholder conflicts delay implementation
- Measures remain ineffective without clear ownership
- Use both quantitative and qualitative data
- Work iteratively: small experiments instead of big bangs
- Document assumptions and evaluation rules transparently
I/O & resources
- Documentation of current processes and systems
- Requirements or target catalog (desired state)
- Stakeholder interviews and performance metrics
- Prioritized gap list
- Action plan with schedule estimates
- Risk assessment and ownership assignment
Description
Gap analysis is a structured method to identify discrepancies between the current and desired state across products, processes, or organizations. It produces prioritized action areas and concrete recommendations. Typically executed in facilitated workshops with stakeholders and measurable criteria. The approach includes evaluation criteria, gap categorization and concrete closure steps.
✔Benefits
- Clear prioritization of action areas
- Improved resource allocation
- Transparent decision basis for actions
✖Limitations
- Outcome depends on data quality and participation
- Can lead to superficial solutions if root causes aren't analyzed
- Requires facilitation and methodological skills
Trade-offs
Metrics
- Number of identified gaps
Counts all gaps and categories identified during analysis.
- Implementation rate
Percentage of planned actions that have been implemented.
- Time-to-close
Average time until a identified gap is closed.
Examples & implementations
Product strategy workshops of a SaaS provider
Several workshops yielded prioritized feature gaps and a revised roadmap.
ISO preparation in a public authority
Gap analysis revealed missing controls; short‑term measures enabled audit approval.
Support process improvement at a telco
Identified information gaps reduced escalations and lead times significantly.
Implementation steps
Preparation: define goals, scope, stakeholders
Collect data and information
Workshop: document current and desired state
Identify, classify and prioritize gaps
Plan actions, assign owners and define metrics
⚠️ Technical debt & bottlenecks
Technical debt
- Incomplete data collection hinders repeatability
- Missing integration points complicate action tracking
- No metrics defined → no success measurement
Known bottlenecks
Misuse examples
- Gap analysis used as a bureaucratic exercise without implementation budget
- Focusing only on superficial symptoms while ignoring root causes
- Burying results in long reports instead of using them as an action plan
Typical traps
- Scope too broad without clear priorities
- Interviewing non‑representative stakeholders
- Lack of measurable criteria leads to opinion conflicts
Required skills
Architectural drivers
Constraints
- • Limited time for workshops
- • Limited budget for investigations
- • Restricted access to relevant data