Impact Measurement Frameworks: How to Choose and Build One

An impact measurement framework is a structured way to define the change you want to create, decide what evidence would show it is happening, and use that evidence to make better decisions. The OECD describes a results framework as a tool to define, monitor and assess the performance and impact of policies, programmes or projects. This guide explains the parts every framework needs, compares the approaches you will meet most often, and walks through building one that your board, funders and community can trust.

Key Takeaways

• A good framework links activities to outcomes through a clear causal chain, then attaches indicators, baselines and targets to each link.

• Start with the problem and the change you want, not with the data you already hold. Designing around what is easy to count is a well-documented trap.

• Theory of change, logic models, SROI and results frameworks are not rivals. They answer different questions, and most organisations combine two or three.

• Count negative and unintended effects as well as the intended, positive ones, or your findings will flatter you and mislead others.

• A framework only earns its keep when the findings are reported honestly and change what you do next.

What an impact measurement framework is, and why organisations use one

Most organisations already collect numbers: tonnes recycled, people trained, hours volunteered. Those are outputs. A framework asks the harder question of whether anything changed for people or the environment because of what you did, and how you would know.

The OECD’s 2024 work on results frameworks says they set out how an intervention will achieve its objectives and support evidence-based decision-making, learning, accountability and communication. It also stresses that although frameworks look technical, they are a strategic commitment to directing resources towards interventions with the greatest potential for positive change.

For boards, the shift is significant. The Australian Institute of Company Directors suggests that impact measurement moves a board’s attention from inward-looking operational and financial results to the outcomes created for clients, communities and systems. Its guidance is Australian, but the governance point applies to any organisation that reports on sustainability, including UK companies preparing ESG disclosures.

There are three practical reasons to build a framework rather than collect data ad hoc:

1. Focus. You measure what matters to your goals instead of everything that is easy to record.

2. Credibility. Funders, regulators, customers and communities can see how a claim was reached.

3. Learning. You find out early which activities work, for whom and under what conditions, and adjust.

The core components of a framework

Names differ between sectors, but the building blocks are remarkably consistent. The OECD lists the main components of a results framework as a results chain, indicators, targets, baselines, means of verification, assumptions and risks.

The results chain

The results chain is the causal sequence from inputs and activities through outputs and outcomes to impacts. Here is an example for a municipal food waste scheme:

The figures are illustrative, not drawn from a real scheme. The point is the discipline: each link must plausibly lead to the next, and you should be able to say what would break it.

Indicators, baselines and targets

The OECD defines an indicator as a quantitative or qualitative factor or variable giving a simple, verifiable and reliable means of tracking change and performance. Targets are generally set at the start of an intervention, and baselines record the original value of the indicator.

In practice that means three decisions per indicator:

• What exactly is counted, for instance kilograms of food waste per household per week, not “waste reduction”.

• Where you start, measured before the programme begins. Without a baseline, you cannot show change.

• What success looks like, set as a target you can be held to.

Means of verification, assumptions and risks

Means of verification say where each number will come from: a survey, a meter, a council tonnage return, an audit. Assumptions and risks are the conditions that must hold for the chain to work, such as residents having space for a second bin. Writing them down early is cheap. Discovering them late is expensive.

Comparing the main approaches

People searching for impact measurement frameworks usually meet a handful of named approaches. They are tools for different jobs.

The EU Social Economy Gateway notes that SROI translates social and environmental outcomes into monetary values, while logic models, impact mapping and causal chains offer other ways to describe a change strategy. That is a useful way to think about the choice: SROI is a valuation method, whereas the others are ways of describing and organising a change.

Which should you choose?

Work from the decision you need to support:

• You are designing something new. Begin with a theory of change, then draw a logic model from it.

• You must report to a funder or regulator on an existing programme. Build a results framework with indicators, baselines and targets.

• You need to show value for money. Add an SROI analysis, but only after the outcome data is solid, because the monetary figure is only as good as the evidence beneath it.

• You must defend a claim that your work caused the change. Plan a comparison group or a contribution analysis from the outset.

For ESG-focused organisations, the same logic applies to environmental and social indicators. Our piece on measuring ESG impact beyond the numbers looks at why a metric on its own rarely tells the whole story.

How to build a framework, step by step

1. Define the problem and the change you want

Start by naming the problem you address, who is affected and what better looks like. A Roadmap to Social Impact from the Centre for Social Impact describes building a theory of change as identifying the problem, setting long-term goals and working backwards to the intermediate outcomes, outputs and activities needed to reach them.

Working backwards is the useful habit. It stops you listing activities first and justifying them afterwards.

The World Bank Group adds that designing a results framework is an iterative, consultative process that clarifies objectives and interventions even while they are being designed. Involve the people delivering the work and the people affected by it from the first workshop, not only at the review stage. Our note on stakeholders and business sustainability is a good starting point for mapping who to involve.

2. Draw the results chain and state your assumptions

Sketch inputs, activities, outputs, outcomes and impact on one page. Next to each link, write the assumption that has to be true. If you cannot state one, you have found a gap in the logic.

3. Choose a small set of indicators

Pick a few indicators per outcome, mixing quantitative and qualitative where you can. Three well-chosen indicators beat thirty that nobody has time to collect.

One warning matters here. The Centre for Social Impact flags a common pitfall: designing programmes around what can be measured instead of the change the organisation actually wants. The EU Social Economy Gateway makes a similar point, listing the risk of focusing on easily measurable outcomes among the main challenges, alongside resource and expertise demands, difficulty collecting accurate data and the complexity of measuring long-term impacts.

A quick test for each indicator: if the number moved, would we do anything differently? If not, drop it.

4. Plan data collection

Match methods to the indicators and theory of change. The New Economics Foundation’s guide to social return on investment advises balancing quantitative and qualitative data to capture both facts and perceptions, triangulating several sources and adapting existing national or industry data where possible to keep the work affordable and sustainable. That guide dates from 2008, so treat it as a durable method reference rather than current practice on tools.

Practical ways to apply this:

• Use data you already hold, such as tonnage returns, energy bills, HR records or attendance sheets, before commissioning anything new.

• Add short surveys or interviews to capture what the numbers cannot, such as whether residents feel a scheme is fair.

• Record who collected what, when and how, so a reviewer can follow the trail.

Data quality is the stumbling block for many sustainability teams. Our article on ESG data challenges and a path ahead covers the common ones.

5. Capture negative and unintended effects

A framework that only looks for the results you hoped for will find them. The EU Social Economy Gateway says frameworks can account for intended and unintended, positive and negative consequences, and that impact measurement and management should actively identify and address unintended consequences. It also points to counterfactual studies for assessing attribution, and contribution analysis for testing plausible alternative explanations.

Examples of what to look for:

• A recycling scheme that cuts landfill but increases vehicle emissions from extra collection rounds.

• A supplier standard that improves audit scores while pushing smaller local producers out of your supply chain.

• A training programme that lifts qualifications but leaves out the people with the least access.

Ask beneficiaries and frontline staff an open question: what has changed that we did not expect?

6. Evaluate, report and learn

The OECD defines evaluation as the systematic, objective assessment of an intervention’s design, implementation and results to determine its relevance, effectiveness, efficiency, impact and sustainability. Build a review point into the calendar, ideally before budgets are set.

Reporting should share evidence with stakeholders so that your claims can be checked, and findings should lead to adapting programmes and strategies based on lessons learned, as the EU Social Economy Gateway puts it. A study from Elrha on community guides also stresses the value of engaging beneficiaries, funders and community members to validate findings, so that reported impacts reflect their experience.

Keep the framework alive, too. The OECD notes that results frameworks should stay flexible and adaptable to changes in context and promote learning. If a programme changes, revisit the chain and the indicators.

If your findings feed an ESG report, think about who will read it. Our guide to the key audiences of an ESG report helps you decide what level of detail each group needs.

Common mistakes to avoid

• Too many indicators. Teams drown in collection and never analyse. Keep a short list that maps to decisions.

• No baseline. Without a starting figure, improvement is an opinion.

• Confusing outputs with outcomes. Workshops delivered is not behaviour changed.

• Claiming sole credit. Other factors, such as policy changes, prices or weather, usually play a part. Contribution analysis exists for this reason.

• Measuring once. A single snapshot at the end cannot show change or give you time to correct course.

• Reporting only the good news. Credibility depends on showing limits and negative effects as well.

Putting a framework to work in Europe and Africa

Context shapes the choice of indicators. In a UK or EU setting, you may be able to draw on national statistics and established reporting standards to supply baselines cheaply. In many African settings, official datasets can be thinner or less frequent, so community-collected data and simple, robust indicators carry more weight. The practical advice is the same in both: adapt existing data where you can, triangulate where you cannot, and be transparent about the limits.

How Exereco can help

Organisations rarely struggle with the idea of measuring impact. They struggle with turning it into a repeatable process that connects data, reporting and decision-making. Exereco brings together sustainability news and analysis, ESG advisory, training, reporting software and community networking, with a focus on both European and African organisations. If your team needs to build impact measurement into its human rights or sustainability reporting, our Human Rights Reporting course is a practical place to start, and you can explore everything we offer on the Exereco homepage.

For wider context on why measurement matters to the bottom line, read our analysis of the economic effect of sustainable measures.

FAQ

What is the difference between a theory of change and a logic model?

A theory of change explains why you expect an intervention to lead to change, including the assumptions behind it. A logic model is usually a simpler visual layout of inputs, activities, outputs and outcomes. Most teams write the theory of change first and draw the logic model from it.

How many indicators should a framework have?

There is no fixed number, but fewer is better. Choose a small set for each outcome, and keep only those that would change a decision if the figure moved. Extra indicators raise the cost of data collection and dilute attention.

Is SROI the best impact measurement framework?

No single framework suits every purpose. SROI puts a monetary value on social and environmental outcomes, which helps make a financial case, but it relies on assumptions and good outcome data. Many organisations pair it with a results framework and qualitative evidence.

How do you measure unintended impacts?

Build the question into your design from the start. Ask stakeholders and frontline staff what has changed that you did not plan for, track plausible negative effects alongside your targets, and use comparison groups or contribution analysis when you need to test the cause.

How often should we review our framework?

Review at set points, such as annually, and whenever the programme or its context changes materially. A framework should stay flexible enough to adapt, so revisit the results chain, assumptions and indicators at each review.

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• Measuring ESG Impact: Beyond the Numbers

• Social Impact Bonds: Innovations in Funding Sustainable Solutions

• Double Materiality Assessment: A Practical Guide