Supporting organisations to generate usable insight from survey and feedback data
Well-designed surveys are essential for generating data that can be analysed and used with confidence. We support organisations in designing surveys that combine robust quantitative measures with carefully structured open-ended questions, ensuring both breadth and depth of insight.
Open-ended questions are designed with analysis in mind, encouraging meaningful responses while allowing patterns to be identified across large datasets.
Typical support includes:
- survey review and refinement
- design of open-ended questions
- alignment with evaluation or learning objectives
Making sense of large qualitative dataset
Large volumes of open-ended feedback are often underused because they are difficult to analyse systematically. We specialise in analysing large qualitative datasets using language-based and data-driven approaches that work across entire datasets rather than small samples.
This allows organisations to identify recurring patterns, emphasis, and variation in how people express experiences and concerns, producing findings that are robust and defensible.
Typical support includes:
- analysis of open-ended survey responses
- consultation and feedback analysis
- synthesis of qualitative and quantitative findings
From insight to action
Analysis creates value only when it informs action. We focus on translating findings into clear insights that support decision-making, evaluation, learning, and reporting.
Outputs are structured to be accessible to different audiences, ensuring that evidence can be confidently used by programme teams, senior stakeholders, and funders.
Outputs may include:
- insight summaries and evidence narratives
- reporting-ready findings
- implications and learning points