Evergreen guidance for organisations commissioning research, evaluation, fieldwork, data and strategy assignments in Ethiopia.
Publications are reviewed before release so that every item is approved, attributable, and useful to its intended audience.
A 17-page field-planning guide covering sampling, multilingual tool adaptation, ethics and data protection, CAPI workflows, training, supervision, quality assurance, data handover, RFQ design and partner due diligence.
The guide helps international firms, universities, NGOs and development partners translate a research protocol into a realistic Ethiopia implementation plan.
A capable Ethiopia country partner reduces proposal-stage uncertainty, strengthens local delivery, and gives international teams accountable support from mobilisation through reporting.
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Professional data collection is not simply completing interviews. It is a controlled process that protects sampling, respondent safety, field quality and the usability of the final dataset.
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Household surveys succeed or fail long before the first interview. Early decisions about sampling, language, field logistics and quality control determine whether the final data are credible.
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CAPI can improve speed and control, but its real value comes from combining good form design with disciplined field supervision and daily data review.
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When an international study uses SurveyCTO, the local implementation challenge is less about the software itself and more about disciplined training, field operations and protocol compliance.
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The lowest-cost fieldwork supplier may deliver interviews. A technical partner should also protect the protocol, manage risk, document quality and help the prime contractor understand what happened in the field.
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Baseline, midline and endline studies should form one evidence chain. Their value depends on comparable indicators, realistic designs and a clear plan for how findings will be used.
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FGDs, KIIs and IDIs answer different questions. Good qualitative research starts by matching the method to the participant, topic and decision need—not by maximising interview counts.
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Large survey samples do not guarantee strong evidence. Quality depends on consistent implementation, fast feedback and traceable decisions from questionnaire design through final cleaning.
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A clear RFQ does more than speed up quotations. It allows suppliers to price the same scope, identify risks early and propose a field plan that is technically realistic.
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A useful strategic plan should make choices, connect them to organisational capacity, and provide an implementation framework that can guide management after the workshop ends.
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Language is not a final production step. In multilingual research, translation and localisation influence measurement, consent, interviewer consistency and the meaning available to analysts.
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Ethical research requires more than a consent paragraph. Field teams need procedures that protect voluntary participation, privacy, dignity and safe escalation throughout implementation.
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A practical guide to comparing top research and consultancy firms in Ethiopia using evidence, methodology, quality systems, contextual fit and delivery record.
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A practical guide to baseline design that creates useful starting values, protects future comparability and supports better programme decisions.
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Endline evaluations are most valuable when they explain results, support accountability and identify practical lessons for future programming.
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KoboToolbox improves field data quality when it is combined with strong questionnaire design, validation rules, training and daily review.
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Mixed-methods evaluation is strongest when numbers and narratives are integrated around the same evaluation questions.
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A clear Terms of Reference helps evaluators design better methods, price realistically and deliver more useful findings.
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A practical MEL framework should help programme teams collect the right evidence, at the right time, for the right decisions.
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The insights centre shares practical knowledge from Gesem’s work in evaluation, research, data quality, strategy and institutional strengthening.
Methods, evaluation questions, contribution, learning, and recommendation use.
Digital tools, survey design, qualitative evidence, interpretation, and visualisation.
Strategy, governance, systems, capacity, organisational learning, and implementation.
Inclusion, conflict sensitivity, language, accessibility, ethics, and field operations.
