Platform AssureLens AccioLens UXLens App Monitoring Industries Energy & Industry Financial Services Retail & eCommerce SMB - Small & Mid-Sized Business Company About Us Team Blog In the News Careers Contact Us Build your AI Blueprint Español
Industry · NON-PROFIT & NGOFunction · Data & Knowledge
UC-466

Programme M&E Evidence and Indicators

Reads field monitoring forms, partner reports and survey exports, computes each logframe indicator, and keeps the evidence trail.

TBDBuild Duration
XXXXIndicative ROI
XXXXBuild Cost
XXXXValue

The Challenge

Indicator figures are rebuilt by hand each quarter and nobody can trace a number back to the form it came from. It persists because monitoring data arrives in whatever shape each partner uses.

How It Works

  • Reads field monitoring forms, partner narrative reports, survey exports and beneficiary counts.
  • Computes each logframe indicator from its source records and flags gaps and double counting.
  • Gives the M&E lead a quarterly indicator set with the source record behind every figure.

What It Removes

  • Manual consolidation of partner indicator returns
  • Re-typing survey exports into the logframe tracker
  • Hunting for the source form behind a reported figure
Input Data RequirementsField monitoring forms, partner narrative reports, survey and mobile data exports, beneficiary registers, logframe and indicator definitions
Output FormatQuarterly indicator set with a source trail per figure, a double-counting and gap report, and a partner data quality ranking
“The evaluator asks where the number came from and we spend a week finding the forms behind it”
SwarmLens · Public Use-Case Library

← Back to all use cases