M&E Platforms

Monitoring and evaluation platforms aggregate programme data, track indicators against targets, and generate donor-compliant reports. These systems serve as the analytical layer for programme management, connecting data collection tools to strategic decision-making through dashboards, visualisations, and automated reporting workflows.

This page covers platforms designed for indicator management, results aggregation, and programme-level analytics. Adjacent categories include data collection tools (field data capture), case management systems (individual-level tracking), and business intelligence platforms (general-purpose analytics). The solutions assessed here focus on M&E-specific functionality: indicator hierarchies, disaggregation frameworks, target tracking, and development-sector reporting standards.

Requirements taxonomy

This taxonomy defines evaluation criteria for M&E platforms. Requirements are organised by functional area and weighted by priority for mission-driven organisations. Adjust weights based on specific operational context.

Functional requirements

Core capabilities that define what the tool must do.

Indicator management

Data aggregation

Reporting and visualisation

Results framework support

Collaboration and workflow

Technical requirements

Infrastructure, architecture, and deployment considerations.

Deployment and hosting

Scalability and performance

Integration architecture

Security requirements

Security controls and data protection capabilities.

Authentication and access control

Data protection

Compliance

Operational requirements

Support, documentation, and organisational sustainability.

Support and documentation

Pricing and licensing

Comparison matrices

Rating scale

Functional capabilities

Notes on partial ratings:

• DHIS2 F1.7: Version history available for metadata but not full change comparison
• DHIS2 F3.2: Templates exist but require configuration; not pre-built for specific donors
• OpenFn: Not an M&E platform itself but integration layer; ”—” indicates features provided by connected M&E systems
• ActivityInfo F1.2: Supports hierarchies through relational forms but not native indicator tree structure
• ActivityInfo F4.1: Logframe achievable through form design but not purpose-built logframe module
• DevResults F3.6: Updates occur on data entry but dashboards may cache

Technical capabilities

Notes:

• DHIS2 T1.2: DHIS2 can be hosted in any region through self-hosting; managed hosting available through partners
• OpenFn T1.5: OpenFn CLI supports local execution; web platform requires connectivity
• DevResults T1.1: SaaS-only offering; no self-hosted option
• DevResults T1.2: Azure hosting with limited region documentation

Security capabilities

Notes:

• DHIS2 S3.1: No formal certification as open source project; individual implementations may be certified
• OpenFn S3.1: Digital Public Good certified; SOC 2 in progress per documentation
• ActivityInfo S3.1: ISO 27001 certified
• DevResults S3.3: Security testing not documented in public materials

Individual tool assessments

DHIS2

Overview

DHIS2 (District Health Information Software 2) is an open-source platform for health information management developed by the HISP Centre at the University of Oslo. Originally designed for aggregate health data in developing countries, DHIS2 has expanded to support general M&E, education, and logistics use cases. The platform powers national health information systems in over 80 countries.

Strengths

DHIS2 excels in aggregate data management at scale. The platform handles millions of data points across complex geographic and organisational hierarchies. Native support for disaggregation allows detailed analysis by gender, age, and other dimensions without duplicating indicator definitions. The analytics engine generates pivot tables, charts, and maps from aggregate data with sub-second response times for typical queries.

The data set concept aligns with periodic reporting common in health and development programmes. Data sets define which data elements are collected at which organisational units on which schedule, with configurable validation rules that run during data entry. The approval workflow supports multi-level review processes typical in hierarchical organisations.

Geographic information system capabilities are built into the core platform. Thematic maps display indicator values by administrative boundary, with support for multiple boundary layers and point locations. Map layers can be combined with external base maps and exported for offline use.

The indicator engine supports complex calculations including coverage rates, ratios, and population-weighted averages. Indicators can reference data elements from multiple data sets and include annualisation factors for periodic data. The calculation engine handles missing data according to configurable rules.

Limitations

DHIS2’s health-sector origins create friction for non-health use cases. Terminology throughout the interface uses health concepts (data elements, data sets, organisation units) that require translation for development-sector users. The tracker module for individual-level data adds complexity that aggregate M&E users may not need.

Report customisation requires technical skills. While the dashboard builder is accessible to trained users, creating formatted reports matching donor templates requires the Reports app or external tools. The built-in reporting options focus on data presentation rather than narrative reporting.

The learning curve is significant. Training programmes run several days, and effective use requires understanding of the platform’s conceptual model. Implementation typically requires external technical support, particularly for initial configuration and data migration.

Self-hosting demands infrastructure capacity. Minimum requirements include dedicated server resources, PostgreSQL database administration skills, and ongoing system maintenance. Smaller organisations without technical staff find self-hosting impractical, though managed hosting services address this gap at additional cost.

Deployment architecture

+------------------------------------------------------------------+
|                         DHIS2 ARCHITECTURE                       |
+------------------------------------------------------------------+
|                                                                  |
|  +------------------------+      +------------------------+      |
|  |     WEB BROWSER        |      |     ANDROID APP        |      |
|  |                        |      |                        |      |
|  |  - Dashboard viewer    |      |  - Data entry          |      |
|  |  - Data entry          |      |  - Tracker capture     |      |
|  |  - Analytics           |      |  - Offline sync        |      |
|  +----------+-------------+      +----------+-------------+      |
|             |                               |                    |
|             +---------------+---------------+                    |
|                             |                                    |
|                    +--------v--------+                           |
|                    |                 |                           |
|                    |  DHIS2 CORE     |                           |
|                    |  (Java/Spring)  |                           |
|                    |                 |                           |
|                    |  - Web API      |                           |
|                    |  - Analytics    |                           |
|                    |  - Import/Export|                           |
|                    +--------+--------+                           |
|                             |                                    |
|                    +--------v--------+                           |
|                    |                 |                           |
|                    |  PostgreSQL     |                           |
|                    |  Database       |                           |
|                    |                 |                           |
|                    +-----------------+                           |
|                                                                  |
+------------------------------------------------------------------+

Integration capabilities

DHIS2 provides a comprehensive REST API covering all platform functionality. The API uses JSON format and supports both synchronous operations and asynchronous job-based processing for large datasets. OpenAPI specifications are published for API documentation.

Pre-built integrations exist for common data collection tools including ODK, KoboToolbox, and DHIS2’s own Android applications. The ADX (aggregate data exchange) format enables standardised data exchange with other DHIS2 instances and compatible systems.

Web hooks can trigger external systems when specific events occur, enabling real-time integration with downstream systems. The app platform allows custom applications to be developed and deployed within DHIS2, extending functionality without modifying the core platform.

Documentation and support

Documentation spans user guides, implementer guides, and developer references at docs.dhis2.org. The developer portal at developers.dhis2.org provides API documentation, SDK references, and tutorials for custom development. Documentation quality is high, though volume can be overwhelming for new users.

Community support operates through the DHIS2 Community of Practice (community.dhis2.org), an active forum with responses from both community members and core team. The DHIS2 Academy programme provides structured training in multiple formats and languages.

Commercial support is available through the HISP network of regional organisations providing implementation, training, and hosting services. Support agreements vary by HISP partner.

OpenFn

Overview

OpenFn is a workflow automation and data integration platform designed to connect systems used in development and humanitarian programmes. Rather than serving as an M&E platform itself, OpenFn acts as integration middleware that moves data between M&E platforms, data collection tools, case management systems, and other operational software.

Strengths

OpenFn solves a specific problem that M&E platforms alone cannot: reliable, automated data flow between disconnected systems. The platform provides pre-built adaptors (connectors) for over 70 systems common in the development sector, including DHIS2, CommCare, Salesforce, ODK, and various ERP systems.

The workflow engine handles complex data transformation logic. Jobs written in JavaScript can filter, map, aggregate, and validate data as it moves between systems. The visual workflow editor in Lightning (v2) makes integration logic accessible to non-programmers while preserving code-level control for developers.

Error handling is robust. Failed jobs are logged with full context, enabling diagnosis and reprocessing. The platform maintains message queues that survive temporary destination system outages, preventing data loss during integration failures.

As a Digital Public Good, OpenFn maintains open governance with an Open Source Steering Committee. The fully open-source licensing (LGPL-3.0) with no “open core” restrictions ensures complete feature availability in self-hosted deployments.

Limitations

OpenFn is not an M&E platform. It does not store indicator data, generate dashboards, or produce reports. Organisations need a separate M&E platform (such as DHIS2, ActivityInfo, or DevResults) as the destination for integrated data.

Workflow development requires some technical skill. While the visual editor reduces the barrier, complex transformations still require JavaScript knowledge. The platform is most effective when implementation includes developer capacity for initial configuration and ongoing maintenance.

Self-hosted deployment requires Elixir/Phoenix framework expertise, which is less common than Python or JavaScript skills. The managed SaaS option addresses this but adds subscription cost.

The adaptor library, while extensive, may not include connectors for all systems an organisation uses. Custom adaptor development is possible but requires JavaScript development capacity.

Integration architecture

+------------------------------------------------------------------+
|                      OPENFN ARCHITECTURE                         |
+------------------------------------------------------------------+
|                                                                  |
|  +----------------+  +----------------+  +----------------+      |
|  |                |  |                |  |                |      |
|  |  KoboToolbox   |  |  CommCare      |  |  Custom API    |      |
|  |  (source)      |  |  (source)      |  |  (source)      |      |
|  +-------+--------+  +-------+--------+  +-------+--------+      |
|          |                   |                   |               |
|          +-------------------+-------------------+               |
|                              |                                   |
|                     +--------v--------+                          |
|                     |                 |                          |
|                     |  TRIGGER        |                          |
|                     |  (webhook/cron) |                          |
|                     +--------+--------+                          |
|                              |                                   |
|                     +--------v--------+                          |
|                     |                 |                          |
|                     |  WORKFLOW       |                          |
|                     |  ENGINE         |                          |
|                     |                 |                          |
|                     |  - Transform    |                          |
|                     |  - Validate     |                          |
|                     |  - Route        |                          |
|                     +--------+--------+                          |
|                              |                                   |
|          +-------------------+-------------------+               |
|          |                   |                   |               |
|  +-------v--------+  +-------v--------+  +-------v--------+      |
|  |                |  |                |  |                |      |
|  |  DHIS2         |  |  Salesforce    |  |  Database      |      |
|  |  (destination) |  |  (destination) |  |  (destination) |      |
|  +----------------+  +----------------+  +----------------+      |
|                                                                  |
+------------------------------------------------------------------+

Documentation and support

Documentation at docs.openfn.org covers platform usage, adaptor development, and deployment. The documentation is well-organised with separate sections for different user roles (implementers, developers, administrators).

Community support operates through a Discourse forum at community.openfn.org. The core team actively participates in community discussions. Commercial support is available through Open Function Group and implementation partners.

ActivityInfo

Overview

ActivityInfo is a commercial platform for humanitarian and development data management, developed by a Netherlands-based company. The platform combines relational database capabilities with built-in analysis and reporting tools, designed for M&E, humanitarian coordination, and case management use cases.

Strengths

ActivityInfo’s relational database model provides flexibility that fixed-schema M&E platforms lack. Forms can be linked to create complex data structures, enabling the platform to adapt to varied programme designs without customisation. This flexibility suits organisations managing diverse programmes with different indicator structures.

The mobile data collection app supports offline data entry with automatic synchronisation. The same forms used on the web platform work on mobile devices, eliminating the need for separate data collection tools in many deployments.

Analysis tools are integrated into the platform. Pivot tables, charts, and maps can be created without exporting data to external tools. The report designer supports formatted outputs for donor reporting, with scheduling for automated distribution.

The self-managed server option addresses data sovereignty requirements. Organisations can deploy ActivityInfo on their own infrastructure, including air-gapped networks, with full feature parity to the SaaS version.

Multi-language support spans 18 languages, with interface translations and right-to-left script support for Arabic. Form content can be translated for multilingual data collection.

ISO 27001 certification provides documented security assurance for procurement processes that require third-party security attestation.

Limitations

ActivityInfo’s general-purpose database model requires more initial configuration than purpose-built M&E platforms. Organisations must design their own indicator structures rather than working with pre-built M&E concepts. This flexibility has a setup cost.

The indicator concept differs from traditional M&E platforms. ActivityInfo treats indicators as calculated fields on forms rather than first-class objects with their own metadata. Achieving standard M&E indicator management patterns requires intentional database design.

Pricing places the platform above the budget of smaller organisations. The minimum subscription of €3,700/year excludes organisations with limited IT budgets, though partnership arrangements may reduce costs.

Results framework visualisation (logframes, theories of change) is not a native feature. While these structures can be represented in the database, the platform does not provide purpose-built tools for results framework management.

IATI and HXL support is limited compared to platforms designed specifically for development data interoperability.

Integration capabilities

The REST API provides programmatic access to all platform functionality. Documentation covers authentication, CRUD operations on forms and records, and query operations for data retrieval. An R client library is available for data analysis workflows.

Import capabilities support CSV, Excel, and external API data sources. The API import feature can pull data from external REST APIs on a scheduled basis.

Power Automate (Microsoft) and Make (Integromat) connectors enable integration with enterprise automation platforms.

Documentation and support

Documentation at activityinfo.org/support/docs covers user guides, administration, and API reference. The documentation is organised by topic with search functionality.

Support is provided through email with response times varying by subscription tier. Training webinars and onboarding services are available at additional cost.

DevResults

Overview

DevResults is a commercial M&E platform designed specifically for international development programmes, with particular focus on USAID contractor requirements. The Washington DC-based company has operated since 2009, serving primarily US government-funded development projects.

Strengths

DevResults is purpose-built for development M&E, with native concepts matching standard programme management terminology. Indicators, results frameworks, disaggregations, and targets are first-class objects rather than generic database constructs. This reduces configuration time for organisations familiar with standard M&E approaches.

USAID reporting formats are particularly well-supported. The platform generates reports matching USAID Performance Indicator Reference Sheet (PIRS) requirements and other standard donor formats. Organisations reporting to USAID find immediate alignment with contractual requirements.

IATI compliance is native. The platform can export data in IATI format for publication to the IATI Registry, supporting transparency requirements common in donor agreements.

The user interface prioritises M&E workflows. Data entry, indicator management, and reporting follow patterns familiar to M&E officers without requiring technical configuration. Training requirements are lower than for general-purpose platforms.

Dashboard capabilities include interactive visualisations, geographic mapping, and progress tracking against targets. Dashboards can be shared with external stakeholders through published views.

Limitations

The SaaS-only model precludes self-hosting. Organisations with data sovereignty requirements or operating in environments with unreliable internet cannot deploy DevResults on local infrastructure.

Geographic coverage appears optimised for US government contracting contexts. While the platform functions globally, documentation and support resources orient toward USAID and similar bilateral donor requirements rather than UN or multilateral contexts.

Pricing is not publicly disclosed. Organisations must request quotes, making cost comparison difficult. Subscription models are typically project-based, which may create complexity for organisations with many small projects.

API documentation, while available, is less comprehensive than competing platforms. Integration capabilities exist but are less emphasised than core M&E functionality.

The platform does not appear to have published security certifications, though security practices are documented in marketing materials.

Integration capabilities

The REST API supports programmatic access to project data, indicators, and results. API tokens provide authentication for automated access. Documentation at devresults.com/api-help provides endpoint reference.

Pre-built integrations exist for Power BI, Dropbox, Google Drive, and SurveyCTO. The SurveyCTO integration enables direct import of survey data into DevResults data tables.

Bulk import via Excel templates supports initial data loading and periodic data updates.

Documentation and support

Documentation at help.devresults.com provides user guides, tutorials, and API reference. Content is organised as a knowledge base with search functionality.

Support is provided through email (help@devresults.com) with a help desk staffed by developers, per company documentation. Training resources include video tutorials and webinars.

Selection guidance

Decision framework

+------------------------------------------------------------------+
|                    M&E PLATFORM SELECTION                        |
+------------------------------------------------------------------+
                              |
                              v
              +-------------------------------+
              | Health sector or national     |
              | HMIS requirement?             |
              +---------------+---------------+
                              |
             +----------------+----------------+
             |                                 |
             v                                 v
            YES                               NO
             |                                 |
             v                                 v
     +-------+-------+              +---------+---------+
     | DHIS2         |              | Data integration  |
     | Strong health |              | primary need?     |
     | data model    |              +---------+---------+
     +---------------+                        |
                               +--------------+--------------+
                               |                             |
                               v                             v
                              YES                           NO
                               |                             |
                               v                             v
                       +-------+-------+          +----------+---------+
                       | OpenFn        |          | Self-hosting       |
                       | + downstream  |          | required?          |
                       | M&E platform  |          +----------+---------+
                       +---------------+                     |
                                              +--------------+--------------+
                                              |                             |
                                              v                             v
                                             YES                           NO
                                              |                             |
                                              v                             v
                                      +-------+-------+          +----------+---------+
                                      | DHIS2 or      |          | USAID primary      |
                                      | ActivityInfo  |          | donor?             |
                                      | (self-hosted) |          +----------+---------+
                                      +---------------+                     |
                                                           +----------------+----------------+
                                                           |                                 |
                                                           v                                 v
                                                          YES                               NO
                                                           |                                 |
                                                           v                                 v
                                                   +-------+-------+              +---------+---------+
                                                   | DevResults    |              | ActivityInfo      |
                                                   | Strong USAID  |              | Flexible database |
                                                   | alignment     |              | model             |
                                                   +---------------+              +-------------------+

Recommendations by context

Health programmes and national health information systems

Recommended: DHIS2

DHIS2’s design specifically addresses health information management at scale. The data element and indicator framework matches WHO health data standards. Aggregate data handling supports population health monitoring. The Android applications enable offline data collection in health facilities with intermittent connectivity.

DHIS2’s free licensing and large implementer community provide sustainability advantages for government health systems with limited IT budgets. The established HISP network offers localised support in many countries.

Considerations:

• Implementation requires external technical support for initial configuration
• Ongoing administration demands database and Linux system skills
• Learning curve requires multi-day training for effective use

Flexible programme data structures

Recommended: ActivityInfo

ActivityInfo’s relational database model suits organisations whose programmes do not fit standard M&E templates. The ability to design custom data structures accommodates varied programme types within a single platform. Mobile offline capability supports field data collection.

ISO 27001 certification facilitates procurement in contexts requiring security attestation. Self-managed server option addresses data sovereignty requirements.

Considerations:

• Minimum €3,700/year subscription excludes smaller organisations
• Initial database design requires M&E and data modelling expertise
• Less specialised for standard logframe/results framework patterns

USAID-funded development programmes

Recommended: DevResults

DevResults’ purpose-built design for development M&E reduces configuration time. Native PIRS templates and IATI export align with common USAID requirements. The user interface matches M&E officer workflows without technical abstraction.

Considerations:

• SaaS-only precludes self-hosting for data sovereignty
• Pricing not transparent; requires quote request
• Less suitable for health sector or non-USAID contexts

Multi-system integration requirements

Recommended: OpenFn + M&E platform

When data must flow between multiple systems (data collection tools, M&E platforms, case management, finance), OpenFn provides the integration layer. Combine with DHIS2, ActivityInfo, or DevResults for M&E storage and reporting.

OpenFn’s pre-built adaptors reduce integration development time. The visual workflow editor enables non-programmers to understand data flows. Error handling and retry logic ensure reliable data transfer.

Considerations:

• Requires separate M&E platform for storage and reporting
• Integration workflow development requires some technical capacity
• Self-hosting demands Elixir/Phoenix expertise

Organisations with minimal IT capacity

For organisations without dedicated IT staff, the following factors should guide selection:

Recommendation order for minimal IT capacity:

1. DevResults if USAID context and budget allows
2. ActivityInfo SaaS if flexible data structures needed
3. DHIS2 with managed hosting from HISP partner if health sector
4. OpenFn SaaS + simple M&E platform if integration is primary need

Migration considerations

From spreadsheet-based M&E

All four platforms provide Excel import capabilities. Migration planning should include:

1. Indicator metadata standardisation (definitions, disaggregations, calculation methods)
2. Historical data validation and cleanup before import
3. Geographic hierarchy definition matching organisational structure
4. User role mapping to platform permission models

Allow 2-4 weeks for data preparation before platform migration.

Between M&E platforms

Data portability varies by platform:

OpenFn can facilitate migration between platforms by automating data extraction from the source and loading to the destination.

External resources

Official documentation

FOSS tools

Commercial tools

Relevant standards

Related procurement resources

See also

• Monitoring and Evaluation Platforms - Implementation concepts for M&E systems
• Data Collection Tools - Mobile data collection tool comparison
• Humanitarian Data Interoperability - HXL, IATI, and data exchange standards
• Application Integration - Integration architecture patterns
• Data Pipeline Design - ETL and data flow patterns