Free Impact Readiness Assessment
Answer 7 questions to discover your current measurement maturity level and receive tailored recommendations. Choose your track below.
Impact Investor / Enterprise
Government / Evaluation Network
1. Do you have a documented Theory of Change? Select... Yes, evidence-based and regularly updated Yes, documented but not recently reviewed Partially — exists but not comprehensive Informally — we know our thesis but have not documented it No documented Theory of Change
2. Do you track outcome-level indicators (not just outputs)? Select... Yes, systematic outcome tracking with baselines Yes, some outcome indicators alongside outputs Mostly output tracking, limited outcomes Primarily activity and output tracking No systematic indicator tracking
3. How do you report impact to stakeholders? Select... Standardised reports aligned to multiple frameworks Regular reports to one primary framework Ad hoc reports when funders request them Annual narrative reports with basic metrics Minimal or no systematic impact reporting
4. Can you report to multiple framework standards? Select... Yes, our data maps to multiple frameworks We can report to 2–3 frameworks with moderate effort We align to one framework; others require significant rework Aware of frameworks but not formally aligned Do not currently align to any standard framework
5. What is your current data collection approach? Select... Integrated digital system with automated collection Digital tools with structured processes Spreadsheet-based with some digital tools Primarily manual with spreadsheet compilation No systematic data collection process
6. Do you use impact data for internal decision-making? Select... Yes, impact data drives strategic decisions Informs decisions alongside other factors Occasionally referenced but not systematically Primarily for external reporting Rarely used for decisions
7. Does your organisation have dedicated impact measurement capacity? Select... Dedicated impact team with mandate and budget Designated lead with partial allocation Shared across roles without dedicated capacity One person alongside many other duties No dedicated capacity
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1. Does your country have a formal M&E policy or legal framework? Select... Yes, legally mandated with dedicated structure and budget Yes, formal policy with designated lead agency Partially — some legal provisions but no unified framework Informal arrangements No formal M&E policy
2. What is the domestic evaluation capacity? Select... Strong: university programmes, professional association, active market Growing: some training, emerging professional community Limited: mostly donor-funded, few domestic options Minimal: primarily international consultants Very limited: almost no domestic capacity
3. Are evaluations conducted to recognised quality standards? Select... National standards adopted and consistently applied International standards referenced; quality varies Some follow standards; many do not Standards exist on paper but rarely enforced No formal quality standards
4. Do multiple stakeholders participate in evaluation governance? Select... Active multi-stakeholder platform with diverse participation Several groups engaged with formal coordination Government-led with some external consultation Concentrated in one agency with limited input No structured multi-stakeholder participation
5. Does evaluation evidence influence policy and budget decisions? Select... Systematic: findings formally linked to budget allocation Regular: results considered in planning with documented examples Occasional: some evaluations inform decisions Rare: evaluations produced but seldom used No evidence of influence on policy or budgets
6. How would you describe your data infrastructure? Select... Integrated national system with cross-ministry sharing Functional systems in key agencies with some integration Fragmented with limited interoperability Basic: primarily manual with limited digital infrastructure Very limited: no systematic data management
7. What is your readiness to adopt AI and digital tools in M&E? Select... Ready: digital infrastructure, skilled staff, institutional willingness Emerging: some digital tools, staff open to AI Early: basic digital tools, awareness of AI potential Pre-digital: minimal infrastructure Not ready: foundational systems needed first
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