Research Governance

Evidence Matrix

An evidence matrix is a structured table or framework that organizes findings, supporting data, sources, confidence levels, affected journeys, and related recommendations.

Concept facts

An evidence matrix is a structured table or framework that organizes findings, supporting data, sources, confidence levels, affected journeys, and related recommendations.

Also known as
Evidence table, research matrix, findings matrix, synthesis matrix, evidence map.
Used in
UX research synthesis, service evaluation, audit reporting, recommendation prioritization, research repositories, governance review, and roadmap planning.
Interpret with
Research finding, UX insight, data quality, triangulation, recommendation prioritization, decision log, and research repository.

Plain-language explanation

An evidence matrix helps teams keep research evidence organised and traceable. Instead of presenting findings as a loose list, it shows how each finding is supported and helps teams see which recommendations are strongly supported.

Why it matters

In complex projects, evidence can become scattered across reports, recordings, analytics dashboards, support logs, and meeting notes. An evidence matrix supports transparent decision-making and evidence strength review.

Use contexts

  • multiple research methods or evidence sources are combined
  • a UX audit produces many findings
  • teams need to prioritise recommendations
  • stakeholders need to see evidence behind decisions
  • a research repository needs structured metadata
  • public-service or institutional projects require defensible documentation

Application guidance

Choose columns that match the project decision. Separate evidence from interpretation. Include confidence or evidence strength where appropriate. Update the matrix when evidence changes and use plain labels.

Practical example

A digital agriculture subsidy portal receives complaints about document upload, eligibility language, and delayed status updates. The team creates an evidence matrix linking interview findings, support tickets, analytics drop-off, and field-staff observations. The matrix shows document-upload errors have high frequency and severity because they prevent eligible applicants from completing submission. The UX consequence is eligibility risk, data-quality risk, and avoidable staff mediation.

Interpretive boundaries

An evidence matrix does not make weak evidence strong. It only organises what is available and can create false precision if confidence scores are assigned without clear criteria.

Applied at Userhub

Userhub uses evidence matrices to organise findings, sources, recommendations, and decision implications in UX audits, research reports, and institutional service reviews.

See Userhub UX Lab for applied UX research and evaluation context.

Sources and references

Miles, M. B., Huberman, A. M., & Saldaña, J. (2020). Qualitative data analysis: A methods sourcebook (4th ed.). SAGE Publications.

Gough, D., Oliver, S., & Thomas, J. (2017). An introduction to systematic reviews (2nd ed.). SAGE Publications.

Booth, A., Sutton, A., & Papaioannou, D. (2016). Systematic approaches to a successful literature review (2nd ed.). SAGE Publications.

Guest, G., MacQueen, K. M., & Namey, E. E. (2012). Applied thematic analysis. SAGE Publications.

Cite this entry

APA

Userhub. (2026). Evidence Matrix. UX Reference. https://userhub.com.bd/reference/evidence-matrix/