Evidence Gap Map
Systematically searches and classifies research to display where evidence exists and is missing within a framework such as interventions and outcomes. Distinguish this from conclusions about effects. [1]
- Difficulty
- Advanced
- Cost
- Medium
- Duration
- Planning example, not a universal standard duration: 2–6 weeks for a small map; 2–6 months for a full version
How it works at a glance
An evidence gap map defines scope and categories before searching and organizing which evidence exists in which areas. It helps users locate relevant studies and consider priorities for new research. [1]
An empty cell means eligible studies were not found within the specified search scope, not that an effect is absent. Even evidence-rich areas should not be judged effective without checking study quality and population differences. [1]
- Define scope and questions
- Design matrix axes
- Develop the search strategy
- Screen literature
- Code quality and characteristics
- Interpret gaps and dense areas
When to use it and when it is unsuitable
When to use it
- When seeking an overview of existing evidence in a new program or policy area
- When prioritizing topics for further evaluation or research investment
- When developing an evidence-building strategy in a grant-making foundation, government or research institution
- When separating existing knowledge from untested issues before evaluation planning
When it is unsuitable
- When seeking field information for short-term improvement of a single program
- When arrangements for searching, screening and assessing literature quality are unavailable
Participants, roles, and deliverables
Participants and roles
Evaluators, literature reviewers, subject specialists and policy staff. Separating search and classification roles improves reliability even for a small map.
Main deliverables
- Evidence Gap Map
- Literature register
- Priorities for further evaluation and research
Implementation steps
- Define scope and questionsDefine the field, interventions, outcomes, countries or areas, publication types and period. Excessively broad scope becomes unworkable.
- Design matrix axesDevelop intervention and outcome categories at a level practitioners can use. Avoid excessive overlap.
- Develop the search strategyDocument databases, institutional websites, grey literature, search terms and exclusion criteria. Record search dates for reproducibility.
- Screen literatureSelect eligible literature through titles, abstracts and full texts. Improve consistency through review by 2 people or sample checks.
- Code quality and characteristicsCode study design, population, area, outcomes, quality assessment and main conclusions, and place studies in the matrix.
- Interpret gaps and dense areasDiscuss with stakeholders areas without evidence, areas needing review and priorities for additional evaluation.
Strengths and limitations
Strengths
- Visualizes the distribution of existing evidence.
- Avoids duplicate evaluation or research investment and directs resources to gaps.
- Produces findings that are easy to explain to policy-makers and funders.
- Particularly valuable upstream of learning agendas or evaluation plans.
Limitations
- Shows whether studies exist, but cannot independently establish effects.
- Visible gaps depend on search scope and category design.
- A full version requires literature review and quality assessment expertise.
Common pitfalls
- Misreading abundant evidence on the map as proof of effectiveness
- Producing an irreproducible evidence map without documenting the search strategy
- Using excessively detailed categories that practitioners cannot use
Conditions of use and evidence
- Distinguish absence of evidence from absence of effects, and show search scope and study content. [1]
Locate learning support research in a small matrix
A fictional illustrative example with invented study counts to explain the method, not actual papers.
Scroll horizontally to view the table
| Intervention | Studies of attendance | Studies of sense of security |
|---|---|---|
| Transport support | 2 | 0 |
| Individual learning support | 3 | 1 |
Common errors in judgment
Judging effectiveness by the number of studies
How to revise
Check designs, quality, populations and effect content separately.
ReasonCounts do not include findings' direction or credibility.
Labeling an empty cell “No effect”
How to revise
Label it “No eligible studies found.”
ReasonAn unresearched issue differs from evidence of no effect.
References and checked sections
- Strategic evidence creation and use with evidence and gap mapsCampbell Collaboration · 2018
- Section consulted
- Evidence and gap maps
- How it relates to the text
- Distinguish absence of evidence from absence of effects, and show search scope and study content.
Editorial and checking information
How to cite this page
Change history
- — Checked sources for definitions and applicability conditions, and added fictional examples, reasons for judgments and examples for every worksheet field. Revised unverified claims about history and adoption. Also reviewed existing procedures and cautions, and adjusted fixed participant counts and thresholds and generalizations about institutions.


