Start with time-to-repair

Published Kenyan handpump monitoring research is important because it connects sensing to an operational outcome. Oxford’s review reports one trial in which average days-to-repair fell from 27 days before the trial to 2 days for pumps transmitting automated data, while a second study reported less than 3 days from a 37-day pretrial average. These results included an organized repair service; they are not evidence that a dashboard alone creates the improvement.

Show the response queue, not only the map

For a rapid operational view, prioritize fault class, first-detected time, last device health, acknowledgement, dispatch state, repair state and verified restoration. A geographic map is useful for routing and clustering, but it should not hide aging work items or ambiguous telemetry behind map colors.

  • Separate confirmed fault, suspected fault and telemetry loss.
  • Sort open work by consequence and age, not merely newest first.
  • Keep the raw event window accessible for triage.
  • Record repair and verification timestamps so response time can be measured.

Use the field result responsibly

A new programme should establish its own baseline failure and repair-time definitions, then compare the distribution of response times after the monitoring-plus-maintenance workflow begins. Geography, transport, spare parts, staffing and governance can all change the result.

Sources and limits

Use these references to verify the underlying guidance. Local regulations, operator coverage and manufacturer instructions can change the correct implementation.