Over the years, I’ve worked on a wide range of smallholder data and traceability projects across different commodities, countries and operating models.
Some projects have focused on farmer registration. Others on plot mapping, certification, EUDR readiness, M&E, traceability, purchasing, field team management or audit reporting.
The context changes from project to project. But the same question comes up again and again:
Is our field data operation actually working as well as it should?
That question is not always easy to answer.
Many organisations are collecting large amounts of data. They have mobile forms, dashboards, spreadsheets, GPS points, farmer records, audit documents and reporting requirements. But more data does not automatically mean better visibility.
In fact, one of the most common problems I see is that data collection systems become overloaded.
Field officers are asked to collect too much. Forms become too long. GPS data is inconsistent. Records are duplicated. Supervisors do not always have time to review submissions properly. Managers lose confidence in the numbers. And then, after all the effort of collecting the data, teams still spend too much time cleaning, checking and correcting information before it can be used.
That is why we have created the First-Mile Field Data Performance Scorecard.

What the scorecard is designed to do
The scorecard is a free assessment for organisations working with smallholder farmers and field teams.
It is designed to help you quickly understand how your current field data operation is performing, where the main bottlenecks may be, and which areas are most worth improving first.
The scorecard looks at areas such as:
- Offline data collection
- Field team productivity
- GPS and plot mapping
- Data quality and validation
- Supervisor review processes
- Team adoption and accountability
The aim is not to produce a generic “digital maturity” score. There are already plenty of broad digital transformation tools available.
This scorecard is focused specifically on the operational reality of first-mile data collection: the point where farmers, field officers, plots, crops, compliance questions, GPS data and supply chain requirements all meet.
That is usually where the real complexity sits.
Why we built it
Smallholdr has always been shaped by real field experience.
Our mobile app and web dashboard have been used to support farmer registration, field mapping, traceability, certification, monitoring and evaluation, impact reporting, purchasing, loans, field officer management and supply chain visibility.
Through that work, I’ve seen what tends to separate strong field data operations from weak ones.
It is rarely just the software.
It is the design of the workflow.
The clarity of the forms.
The reliability of offline collection.
The way field officers are trained.
The speed of supervisor review.
The quality of GPS and plot data.
The discipline around validation and follow-up.
I’ve seen how a well-designed offline workflow can save field teams hours of frustration.
I’ve also seen how poor form design can create months of data cleaning.
The scorecard brings some of those lessons together in a practical format.
Who it is for
The First-Mile Field Data Performance Scorecard is designed for agribusinesses, NGOs, cooperatives and supply-chain programmes managing smallholder farmer data.
It will be particularly useful for teams involved in:
- Farmer registration
- Field mapping
- EUDR compliance
- Organic certification
- Traceability
- M&E and impact reporting
- Sustainability reporting
- Field officer management
- Supply chain digitisation
If your organisation relies on field teams to collect data from farmers, plots or buying points, the scorecard should give you a useful view of where your operation is strong and where it may need attention.
What you will get

After completing the scorecard, you will receive an indication of where your field data operation sits today, along with practical recommendations on the areas to prioritise.
The purpose is to help teams move away from vague concerns such as “our data quality could be better” or “our field team is not working efficiently enough” and towards a clearer view of the actual issues.
- Are the problems coming from offline syncing?
- Are forms too complex?
- Are supervisors reviewing data quickly enough?
- Are GPS and polygon standards consistent?
- Are field officers clear on what “good” data looks like?
- Are teams spending too much time fixing data after collection?
These are the types of questions that often determine whether a field data system becomes a trusted management tool or just another reporting burden.
Take the free scorecard
The First-Mile Field Data Performance Scorecard is now live.
You can take it here:
https://firstmiledata.scoreapp.com/
I hope it helps you reflect on your current field data operation, identify the bottlenecks that matter most, and take practical steps towards better productivity, stronger data quality and greater audit confidence.
And if the results resonate with what you are seeing on the ground, I’d be very happy to hear from you.

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