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Demonstration · not a client result

Donor results data what the deliverable looks like

The structure of the deliverable for donor results data, how it is produced and how you accept it, with a live specimen generated from the matching free tool’s worked example. Synthetic or permitted data only.

DemonstrationSynthetic or permitted data

What this page isDemonstration

Practice
09 Data, analytics & automation
The deliverable
4 sectionsProduced in 5 stages, each with a review point
Data
Synthetic or permittedNot a client result

Demonstration of methodSynthetic or permitted data.Not a client result.

The deliverable, section by section.

What you receive, and what each part is for.

Section 01 of 04

Data inventory

Sources, owners, indicators and gaps.

Demonstration
Section 02 of 04

Reconciled dataset

Cleaned, with exceptions logged.

Demonstration
Section 03 of 04

Analysis or dashboard

Results by indicator, place and period.

Demonstration
Section 04 of 04

Data room

Organised evidence for funder review, where scoped.

Demonstration

A live specimen.

Generated from the worked example in Donor report reconciliation tool: synthetic data, real method. Change the inputs in the tool to see your own.

Demonstration · synthetic data · not a client result

7records read
2indicators
2do not reconcile
3exceptions logged
1 of 2arithmetic matches
1 of 2complete
1unresolved exception
Reconciliation
IndicatorRecordsSum of recordsReportedDifferenceStatusArithmeticCompletenessUnresolved
Youth trained2235375+1401 missingDoes not match1 missing0
Internships started265650Matches, not readyMatchesComplete1

Exception log

  • Check: Row 4: Youth trained at Ho has no value. Left missing, not counted as zero.
  • Gap: Row 5: duplicate of Youth trained, Tamale, 2026-Q2. Not counted twice.
  • Gap: Row 8: Internships started at Ho is negative (-3). Excluded until checked.

Missing values stay missing: a blank is never treated as zero.

How it is produced, and accepted.

Each stage ends in something you review; acceptance is tested against criteria agreed at the start.

  1. 01

    Inputs

    Gather the results data and indicator definitions.

    Review pointInputs listed, with owners and access confirmed.

  2. 02

    Validation

    Validate and reconcile across sources.

    Review pointData validated, with exceptions logged.

  3. 03

    Analysis/build

    Analyse, or build the dashboard.

    Review pointAnalysis or build checked against the agreed definitions.

  4. 04

    Acceptance

    Accept with the MEL lead.

    Review pointAcceptance tested by the people who will use it.

  5. 05

    Operation

    Hand over for the next reporting cycle.

    Review pointOperation handed over with a runbook and a refresh plan.

How proof is labelled

  • DemonstrationsDemonstrations use synthetic or permitted data.
  • Documented experienceDocumented experience is attributed to the organisation that held the work.
  • Measured resultsMeasured results are added only once they have been measured; none are shown yet.

What needs to move forward?

Tell us the decision, the challenge or the opportunity. We reply with a scoped approach, a named principal and a fee before any work begins.

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