Divisi for NGOs & Donor Programmes

Baseline, midline, endline —
and nothing in between.

Field-level evidence across the whole programme, not three expensive snapshots of it — a dated record of what participants did, which is what a resilience claim has to stand on.

Writing an MEL budget that buys three snapshots of a four-year programme? Applying is free, and a person reads it within a working day or two.

Your monitoring budget buys three photographs of a four-year programme, taken by enumerators, from memory, months after the decisions that mattered. When the mid-term review asks which fields changed and which households steadied their yields, the honest answer is that nobody was watching in between.

a look inside

Every field, drawn as the farmer walked it

Coloured by how each crop is doing against what was committed at planting, with the reason on the row beside it — so the output is a route for the week rather than a number to escalate.

1,400FIELDS1,186FARMERS2,940HECTARES312BELOW PROJECTION640TONNES AT RISK28.63°E28.72°E28.80°E18.13°S18.22°SNembudziyaGokwe CentreChief SimuchembuOn trackSlightly behindBehindWell behind010 kmN 1,400FIELDS1,186FARMERS2,940HECTARES312BELOW PROJECTION640TONNES AT RISK28.63°E28.72°E28.80°E18.13°S18.22°SNembudziyaGokwe CentreChief SimuchembuOn trackSlightly behindBehindWell behind010 kmN
Needs attention312 fields · 640 t at riskChirundu block C18.4 tT. Moyo · MaizeNot plantedRiverside 212.1 tG. Ncube · MaizeMissed field workHome field9.7 tR. Chirwa · SoyaWeatherMsasa plot7.2 tP. Dube · MaizeMissed field workLower vlei5.8 tA. Banda · GroundnutNo projection yet Needs attention312 fields · 640 t at riskChirundu block C18.4 tT. Moyo · MaizeNot plantedRiverside 212.1 tG. Ncube · MaizeMissed field workHome field9.7 tR. Chirwa · SoyaWeatherMsasa plot7.2 tP. Dube · MaizeMissed field workLower vlei5.8 tA. Banda · GroundnutNo projection yet

The cohort map and the risk list, at per-field resolution. Illustration — the layout, colours and figures a partner account shows, drawn rather than sampled, because a real cohort belongs to the farmers in it.

the ground you are standing on

Two numbers, neither of them ours

2 → 4.3 t/ha

What management change alone is worth across 14,773 Sub-Saharan smallholder fields — the size of the prize your programme is chasing, measured independently of anyone selling you a tool.

Nature Communications, 2024
1 : 4,000

Farmers per extension officer in Malawi, about eight times the FAO's recommended ceiling — the gap most programmes are implicitly hired to fill, at a ratio no field staffing plan reaches.

FAO
A Divisi season plan grouped by growth stage: irrigation due Tuesday, scouting due Wednesday and a preventive spray, each with its priority
A Divisi diary entry with a field photo of the maize crop
A Divisi 7-day outlook: each day in plain words, with the UV and wind that decide whether the job planned for it can be done
what participants keep

The exit strategy is that the farmer keeps the tool

Every programme document has a sustainability section, and most of them are aspirational. This one is structural: the app your participants install is free, it stays free, and it is not switched off when the grant closes. The crop guidance, the task timings, the weather warnings and the records belong to the farmer and go on working after your last field visit — which is how a household holds its yield in the seasons nobody is funding. What ends at close-out is your view of the cohort, not their tool.

See what participants get, feature by feature →

See it on your own phone → One link, both stores — it opens the right one for your device.

impact, and the balance sheet

The pressures your funder is already asking about

Climate resilience, youth and gender, steadier household incomes, and evidence that something changed are what every agriculture programme is now judged on — and all of them want field-level observation the budget cannot usually afford.

01

Climate resilience, delivered rather than described

The adaptation component of the logframe is something participants actually receive, and it keeps arriving after the grant closes. A crop carried through a dry spell is income the household keeps, which is the resilience outcome a funder is really asking about.

How Participants get weather warnings tied to the crop standing in their own field, and the guidance to act on them, free and offline-capable.

02

Hectares under practice, measured

A reach figure that survives a verification mission, and a denominator your outcome indicators can honestly sit on top of.

How Boundaries are walked on foot with the phone's GPS and closed into a polygon, so area is a sum of measured shapes.

03

Youth and gender, per ward

The disaggregation the results framework demands, at the boundary the donor's own map uses, without a midline survey to produce it.

How Gender split and age bands including the under-35 share, per administrative area, withheld wherever a cell is too thin to describe without describing a person.

04

Evidence between the waves

An evaluator reads a series instead of three cross-sections. It will not manufacture attribution, and it makes the design that does far cheaper to defend.

How Operations completed and missed, dated photographs, and condition against projection — continuously, across the whole programme area rather than a sampled subset.

How this maps to the Sustainable Development Goals — read the alignment →

What the reporting looks like

Hectares under practice, measured

Participants walk their field boundaries with the phone's GPS, so “hectares reached” is a sum of measured polygons rather than a sum of declarations. That single change survives a verification mission better than any narrative in the report.

Evidence between the waves

Operations completed and missed, photographs with dates, crop condition against projection — continuously, for the whole programme area, not just for the sampled households. The mid-term review reads a series instead of a snapshot.

The splits the logframe asks for

Age bands including farmers under 35 — the AU's definition of a youth farmer and the one most national policies use — plus crop mix, planted against not planted, and the area figures, per ward and per district. Reported at the boundary your donor's map already uses.

A do-no-harm story that holds up

Aggregates stand on at least ten farms, with a rule conservative enough that a suppressed cell cannot be recovered by subtraction. Per-field detail requires the farmer's own consent, per field and per season, revocable from their phone. That is a data-protection annexe you can write with a straight face.

How a programme runs on it

1

Apply with the programme area

Who you are, where you work, what the intervention is. A person reads every application. Registered organisations get aggregate access free.

2

Load the area you already have

Upload the project boundary as GeoJSON or a zipped shapefile — your GIS officer already holds it — or choose districts and wards from the administrative tree, or draw the catchment on the map.

3

Enrol participants with a code

A six-character code on a poster, a radio spot or a WhatsApp message. Participants install the free app, walk their field and accept the terms. Applications arrive in a queue you approve.

4

Report from the series, not the survey

Condition through the season, work done and missed, demographic splits, and a close-out when the season ends — with the raw geometry available as GeoJSON for your own analysis.

what your account shows

Resolution follows the relationship

Your programme reads at field resolution for the farmers who joined it, and at area resolution everywhere else in your catchment. Both are on the same map.

Area figures

District and ward totals

Counts, hectares, crop mix, condition and the demographic split for the areas your mandate covers — grouped by the administrative boundaries your own statistics already use. Verification is what moves an account from district totals to ward totals.

Field detail

One field, its season, its evidence

The crop, its walked boundary, its projection, the work done and missed, and the dated photographs — for the farmers who joined your programme and agreed to it, per field and per season. Enrolment is how an account reaches this, which is why the invitation flow is part of the product.

The floor under every published figure

Every area figure stands on at least ten farms. Where a ward holds fewer, it merges into its district and is republished there rather than being hidden — so the map sharpens as coverage grows and never goes blank, and no published set lets a suppressed one be recovered by subtraction. That floor is what makes serving these figures legitimate, and it is why a data-protection review of this is short.

What it costs an organisation

Free for registered organisations

NGOs, foundations, cooperatives and donor-funded programmes: the map, ward and district figures, demographic splits and GeoJSON, with no seat limit and no expiry.

Per-field access is scoped case by case

Where participants enrol and consent by field, it is usually a modest line in a programme budget rather than an institutional licence.

The costed part is the rollout

Enrolment campaigns, materials, translation, training your field staff and supporting participants through their first season. People's time, quoted per engagement — and the part that actually decides whether a programme reaches its numbers.

What you can count on

Attribution stays where it belongs, with your evaluation design. What this supplies is the input that design has always been short of: a dense, dated, geolocated record of what was actually done on real fields, across the whole programme area rather than a sampled subset of it. Bring your own counterfactual and this makes it far cheaper to defend — it is a much better instrument than it is an argument.

Questions worth asking

No. The app is free to every farmer, in or out of your programme, and it stays free after the programme closes. Nothing your participants use is behind a subscription that ends with your funding, which is the usual reason a digital component fails its sustainability review.

For output and reach indicators, directly — measured hectares, participants enrolled, operations completed, crop mix, age and youth splits, all per ward and district. For outcome and impact indicators it is a strong data source inside an evaluation design rather than a replacement for one; it will not manufacture attribution and we will not claim it does.

Your access to the cohort ends and the farmers keep their records, which is the right way round. Export what you need as GeoJSON before close-out — we would rather you held your own copy of the evidence than depended on us to produce it for an evaluation two years later.

Usually not. The environmental layers underneath are global or continental, and administrative boundaries are ingested per country from public datasets on demand. Tell us the country early — bringing one on is a known piece of work with a known lead time, and it is much easier to schedule before a proposal is submitted than after.

The programme is named, its terms are shown to every participant at enrolment, and your organisation appears on the consent record and in the app's disclosure sheet — a farmer can always see exactly who is watching their field and why. What we do not do is white-label the farmer app: a farmer whose tool is branded as your project loses it when the project ends, and the whole point is that they do not.

Start with the map, not the contract.

Tell us who you are, where you work and what you are trying to see. We read every application ourselves and scope the rollout with you.

International and national NGOs, donor-funded agriculture and resilience programmes, foundations, faith-based organisations, farmer cooperatives and unions, development finance implementers.

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