Maahir M&E

What ships, and when

We publish this because M&E teams are often the last to get software and the first to be blamed when it does not work. Here is the plan, in the order we intend to build it.

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Programme roll-up7,219 submissions
ProgrammeCoverageVisitsProgress
Punjab · Batch 3
8 districts
3,204892%
Sindh · Batch 3
4 districts
1,488474%
Punjab · Takamol
3 districts
512358%
KP · Batch 2
5 districts
2,015581%

Programme roll-up · 7,219 submissions

Phase 1

Months 1 to 3

Collect and see

Everything a first programme needs: a survey builder, an offline Android app with automatic sync, AI survey generation, data quality checks, a review workflow and a full API.

  • Survey builder with 30+ question types, skip logic, calculations and XLSForm import and export
  • Android app, fully offline, with background sync, conflict resolution and a media queue
  • AI survey generation from a sentence, a CSV, a PDF or a list of indicators
  • Data quality: duplicate detection, outlier flagging, missing-value and logic checks
  • Review and correction: send a record back with notes and get it fixed
  • API-first platform: REST on everything, webhooks, API keys, rate limits and monitoring
  • Client-provided datasets, such as facility lists and beneficiary registries, wired into forms
  • Multi-country workspaces, monitoring-firm assignment and whole-country dashboards
  • Server-side calculations, offline dataset publishing and offline case transfer
  • Help centre, in-app tooltips and guided tours

Phase 2

Months 4 to 6

Measure and report

The management layer: a results framework and logframe, indicators that calculate themselves, six dashboard views and scheduled donor reports.

  • Results framework, logframe, means of verification, risks and assumptions
  • Indicator library with baselines, targets, disaggregation and composite scores
  • Six dashboard views: executive, indicator, programme, data quality, geographic and case
  • Pivot tables, trend analysis, drill-down, saved views and real-time refresh
  • Automated PDF, Excel, Word and PowerPoint reports, scheduled daily, weekly or monthly
  • Partner management, and a whole-country view across monitoring firms

Phase 3

Months 7 to 9

Follow and compare

Case management and longitudinal work, done properly: entities, panels, waves and attrition, plus the iOS app on the same codebase.

  • Persistent entity tracking for households, students, farmers and institutes
  • Panel and wave management for baseline, midline and endline
  • Attrition tracking, cohort analysis and follow-up workflows
  • Case assignment, case collaboration and offline case transfer
  • iOS app on the same codebase as Android
  • A/B testing, quiz mode, NPS templates and conversational forms

Phase 4

Months 10 to 12

Ask and verify

Ten AI capabilities across collection, analysis, verification and reporting. Most of the tools in our comparison offer none of them.

  • Natural-language querying of your data, with the figures and the caveat about what is missing
  • AI cross-tabulation with statistical significance
  • Photo compliance verification against a standard
  • Voice-to-form in local languages
  • Predictive analytics that flag a project before it misses its target
  • Automatic report narratives, anomaly highlights, recommendations and translation
  • Multi-user AI-assisted survey creation with live co-editing

Phase 5

Months 13 to 18

Govern and scale

Enterprise controls, self-hosting, attestations and a vertical built for your sector, plus the services to roll it out.

  • SSO and SAML, white-labelling, self-hosting with one Docker command
  • SOC 2 Type II, ISO 27001, GDPR and DPDP attestations
  • IATI compliance, donor reporting templates and a form templates marketplace
  • A dedicated vertical: education, agriculture, nutrition or rural programmes
  • Professional services: onboarding, form design and dashboard building

How we decide

Field first
If a feature does not work offline on a phone in a village, it does not ship.
One dataset
If two parts of the product need a spreadsheet to talk to each other, we redesign until they do not.
Explainable
Every figure traces back to a submission, a photo and a person who signed for it.
Open about limits
When a competitor is the better fit for your situation, we say so on the comparison page.
Executive overviewOctober 2026
Enrolled
18,240
of 20,900 target
Completion
87%
target 85%
Placement
62%
target 60%
At risk
18
institutes
Punjab · Batch 392%
Sindh · Skills of Tomorrow74%
Punjab · Takamol58%

Executive overview

Training completion rateOn track
target 85%
MayJunJulAugSepOct
Baseline
62%
Current
87%
Target
85%

Indicator performance

Institute visit · Govt. IT InstituteOffline
4 of 9

Are all machines in the computer lab operational?

Single select · required

31.5204° N, 74.3587° E2 photosSigned
3 waiting to upload

Field capture

Case tracking28 follow-ups due
Wave 1, Oct 2024386/412 · 94%
Wave 2, Apr 2025451/498 · 91%
Wave 3, Nov 2025574/631 · 91%
Wave 4, May 2026702/744 · 94%

Attrition 6.4% across all waves

Case tracking

A census enumerator in Bangladesh holding the tablet they collect household data on
Every record starts with one person and one tablet.
The programme being measured: a classroom in Padang.
Two apprentices at a bench in a vocational training workshop while an instructor points at a checklist on the wall
The bench a monitoring visit checks.
A field data collector outside a rural concrete school building, working through a checklist on a tablet
Collecting it with no signal, outside a village school.

Shape the roadmap

Tell us what your evaluation actually needs and we will tell you plainly whether it is on the list, and when.

Talk to us

No card, no countdown, and your data stays yours.