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Monitoring, Evaluation, Accountability and Learning

Monitoring and Evaluation of Climate-Smart Agriculture & Food Systems Training Course in Zanzibar, Tanzania

Classroom training in Zanzibar · next cohort Nov 16, 2026 · from USD 2,600

Climate-smart agriculture promises higher yields, stronger resilience and lower emissions, but funders increasingly want proof that all three are happening, and for whom. Standard agricultural indicators miss adaptation gains, gender differences and food system effects beyond the farm gate. In five days you learn to measure what these programmes really deliver.

Upcoming sessions in Zanzibar

Zanzibar, Tanzania

Nov 16 – 20, 2026

$2,600

Register

Zanzibar, Tanzania

Dec 14 – 18, 2026

$2,600

Register

Zanzibar, Tanzania

Jan 11 – 15, 2027

$2,600

Register

Zanzibar, Tanzania

Feb 8 – 12, 2027

$2,600

Register

At a Glance

Training in Zanzibar, Tanzania

Zanzibar is Tanzania's island archipelago, a popular setting for residential training and leadership retreats.

More about training in Zanzibar →
Format
Classroom, in Zanzibar
Duration
Mon - Fri (5 Days)
Fee
USD 2,600
Next start dates
Nov 16, 2026, Dec 14, 2026, Jan 11, 2027
Certificate
Certificate of Completion
Airport
Abeid Amani Karume International (ZNZ)
From Dar es Salaam
Fast ferry to Stone Town, about two hours, or a short flight
Time zone
East Africa Time (UTC+3)
Currency
Tanzanian shilling (TZS). Fees are listed in USD.

About this course

Agriculture sits at the centre of Africa's climate challenge. It is both highly exposed to erratic rainfall, heat and pests and a significant source of emissions, so investors and governments are channelling large programmes into practices that raise output while building resilience. With that funding comes a demand for credible results data, and many monitoring systems built for traditional farm extension cannot deliver it.

The Monitoring and Evaluation of Climate-Smart Agriculture and Food Systems Training Course shows how to design and run evidence systems that fit these multi-objective programmes. Participants start with theories of change linking practices to productivity, adaptation and mitigation outcomes, then select indicators, set targets and plan baselines. The programme deals with seasonal data collection, household and plot surveys, remote sensing and weather inputs, and approaches to attributing change in the presence of rainfall variability.

Beyond the farm, the course considers nutrition, market access, gender equity and food system outcomes. Delivery uses worked examples from donor-funded projects, survey design practicals and a final exercise in which participants prepare an M&E plan for a programme of their own.

Training Objectives

By the end of the course, participants will be able to:

  • Build a theory of change and results framework for a climate-smart agriculture programme.
  • Select indicators for productivity, resilience, adaptation and emissions outcomes.
  • Design baseline, midline and endline studies with suitable household and plot sampling.
  • Use mobile data collection tools to run field surveys across a growing season.
  • Choose evaluation designs that deal with weather variability and attribution.
  • Measure adoption of practices and disaggregate results by gender, age and farm type.
  • Include nutrition, market and food system outcomes in monitoring plans.
  • Report results to funders and use findings to improve programmes.

What you'll learn

Build a theory of change and results framework for a climate-smart agriculture programme.
Select indicators for productivity, resilience, adaptation and emissions outcomes.
Design baseline, midline and endline studies with suitable household and plot sampling.
Use mobile data collection tools to run field surveys across a growing season.
Choose evaluation designs that deal with weather variability and attribution.
Measure adoption of practices and disaggregate results by gender, age and farm type.
Include nutrition, market and food system outcomes in monitoring plans.
Report results to funders and use findings to improve programmes.

Key Takeaways

Participants leave with practical products and skills:

  • A results framework with indicators for the three climate-smart pillars.
  • A sampling and survey plan for a baseline study.
  • A mobile questionnaire built and tested in a data collection tool.
  • A method statement for handling rainfall variability in impact analysis.
  • A donor-style indicator reference sheet and reporting outline.
  • An M&E plan for their own climate-smart agriculture programme.

Training Methodology

The course emphasises design skills and field realism, using:

  • Project case files from smallholder farming systems in East Africa
  • Hands-on questionnaire building and testing on mobile devices
  • Sampling and sample size practicals using spreadsheets
  • Group work developing indicators and evaluation designs
  • Facilitator review of each participant's draft M&E plan
FAQ

Frequently Asked Questions About Monitoring and Evaluation of Climate-Smart Agriculture & Food Systems Training Course in Zanzibar

Everything you need to know about this course before you register.

Monitoring and Evaluation of Climate-Smart Agriculture & Food Systems Training Course runs as classroom training in Zanzibar, Tanzania, in Monday-to-Friday cohorts that start every four weeks. The venue, daily timings and joining details are sent in your Joining Instructions email ahead of the start date.

Still have questions about Monitoring and Evaluation of Climate-Smart Agriculture & Food Systems Training Course in Zanzibar? Chat with an advisor·Visit the full FAQ

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VRG brings strategic discipline to complex organizational challenges. Their approach is structured, data-driven, and outcome-focused.

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They facilitated our strategy review, we improved departmental KPI alignment by 35% and reduced operational bottlenecks significantly.

David Oketch

David Oketch

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Employee engagement scores increased following the leadership training program. The difference in accountability culture is evident.

Wendy Albright

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Program Manager

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