Human behaviour is complex—traditional evaluations often miss the key psychological drivers that impact decision-making, engagement, and outcomes.

By integrating behavioural science principles, we help you understand why people act the way they do and how to strategically influence their choices for better results.

 

Our Approach:

  • Evidence-Based Insights: We use proven behavioural frameworks to decode human behaviour and motivations.
  • Tailored Solutions: Each evaluation is customised to your unique goals
  • Actionable Results: Beyond data collection, we provide clear, actionable recommendations
An illustration showing 2 groups of people. one group took a real dose of a medication whilst the other took a placebo pill.

Our methods

Randomised Controlled Trials (RCTs)

What it is: The gold standard for evaluation, RCTs involve randomly assigning participants to an intervention group or a control group.

Purpose: By comparing outcomes between these groups, RCTs help isolate the effects of the intervention from other external factors.

Why it works: Randomisation reduces bias, ensuring that the changes observed are attributable to the intervention.

Example: Testing the impact of a new health campaign by randomly assigning half of a population to see the messaging and the other half to a placebo condition.

An illustration showing a person talking about how they enjoy smoking and then them talking about how they've quit smoking after some time has passed.

Pre and Post-Intervention Surveys

What it is: Surveys conducted before and after the intervention to assess shifts in attitudes, knowledge, and behaviours.

Purpose: These surveys measure self-reported changes over time, providing quantitative data on whether the intervention influenced behaviour.

Why it works: Captures a clear snapshot of changes that have occurred and provides insight into specific aspects of behaviour influenced by the intervention.

Example: Surveying participants about their smoking habits before and after implementing a smoking cessation program.

An illustration of a hand holding a loyalty card surrounded by fruits and vegetables.

Behavioural Tracking and Observational Data

What it is: Direct observation or digital tracking of behaviours before, during, and after the intervention.

Purpose: Collects objective data on actual behaviours, bypassing the limitations of self-reported measures.

Why it works: Provides a real-world view of how interventions affect everyday actions, helping to validate whether stated intentions match observed behaviour.

Example: Monitoring supermarket purchases through loyalty cards to see whether healthier food choices increase after a targeted nutrition campaign.

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Qualitative Interviews and Focus Groups

What it is: In-depth discussions with participants to understand the personal impact of the intervention.

Purpose: These conversations uncover emotional, psychological, and contextual factors influencing behaviour change, adding depth to quantitative findings.

Why it works: Provides rich, detailed insight into why behaviour changed or didn’t, often revealing barriers, motivations, and unintended consequences.

Example: Conducting focus groups after an energy-saving intervention to learn how people experienced the program and what influenced their energy usage decisions.

an illustration showing a person stood on weighing scales as another person checks items off a list.

Longitudinal Studies

What it is: Evaluating behaviour over extended periods to observe long-term changes.

Purpose: Longitudinal studies assess whether behaviour changes are sustained over time, offering a broader understanding of the intervention’s long-term impact.

Why it works: Identifies whether short-term behaviour changes persist, regress, or continue to evolve, which is critical for lasting impact.

Example: Following participants of a weight loss program for two years to evaluate whether they maintain their new habits.

An illustration of two earths, one is turning normally whilst the other is melting. A hand is pointing to the second, melting earth.

Nudge Experiments (A/B Testing)

What it is: Small-scale experiments that test the effectiveness of behavioural "nudges" (e.g., changing how choices are presented).

Purpose: A/B testing compares two versions of an intervention to determine which one better promotes behaviour change.

Why it works: Focuses on incremental changes in behaviour, helping to refine and optimise interventions for real-world settings.

Example: Testing different messaging styles (positive vs. negative framing) to see which is more effective in encouraging recycling behaviours.

An illustration of a checklist on a clip-board and a microphone.

Mixed Methods Approaches

What it is: Combining quantitative and qualitative methods (e.g., surveys and interviews) to gain a comprehensive understanding.

Purpose: Mixed methods offer both breadth (through data) and depth (through narrative), providing a more holistic evaluation of the intervention.

Why it works: Allows evaluators to understand not just the extent of behaviour change but also the mechanisms behind it.

Example: Using surveys to measure the impact of a financial literacy program, while also conducting interviews to explore participants' experiences and decision-making processes.

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Social Return on Investment

Purpose and impact have always been at the heart of everything we do, but how do you measure the impact of your actions when the bottom line isn’t your only priority? 

In today’s consumer-conscious world, it is more important than ever for your organisation to be able to demonstrate the social and environmental value it is creating [or perhaps, destroying]. Social Return on Investment (SROI) enables you to understand and quantify the social, environmental and economic value of your actions.

We can help you:

  • Measure your impact on people and communities 
  • Calculate your Social Return on Investment [for every £1 your invest, are you creating £2 in value?]
     

Download our free SROI toolkit

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