The QUIP sets out to generate differentiated evidence of impact based on narrative causal statements elicited directly from intended project beneficiaries without use of a control group. Evidence of attribution is sought through respondents’ own accounts of causal mechanisms linking X to Y alongside Z rather than by relying on statistical inference based on variable exposure to X. This narrative data is intended to complement quantitative evidence on changes in X, Y and Z obtained through routine project monitoring.
QuiP includes strategies to reduce the risk of response bias – in particular by collecting data without reference to the project being evaluated.
The Qualitative Impact Assessment Protocol uses a Contribution Analysis approach; combining quantitative monitoring of key indicators with qualitative, self-reported attribution of impact (key informant attribution) gathered through interviews to provide sufficient evidence using process tracing to test the theory of change behind the activity being evaluated.
The Qualitative Impact Assessment Protocol (QUIP) - This easy to read CDS Briefing Paper by James Copestake and Fiona Remnant presents an overview of the QUIP in three steps: the background to the QUIP and its main aims; the data collection and analysis methodology; and QUIP in the context of other approaches to evaluation, particularly Contribution Analysis and Process Tracing.
Assessing rural transformations: piloting a qualitative impact protocol in Malawi and Ethiopia - This working paper by James Copestake and Fiona Remnant reports on findings from four pilot studies of a protocol for qualitative impact evaluation of NGO sponsored rural development projects in Malawi and Ethiopia
QUIP: Understanding clients through in-depth interviews - This Practice Note by Imp-Act gives a step-by-step guide to developing and conducting in-depth interviews using the QUIP approach, and analysing the information and making conclusions based on what you have learned.