Category 4: Getting started with monitoring & evaluation

To get started with monitoring (collecting data to understand a program’s progress) or evaluation (assessing a program’s impact), these key skills would be beneficial:

  • project management
  • managerial skills
  • communication

These skills would help to set up and manage the project effectively and successfully. Beyond this, since many monitoring and evaluation efforts involve stakeholders such as the community, police, road safety implementers, and others, skills in stakeholder management are also key.

Beyond these skills, it is imperative to have someone on the team with an understanding of research. This individual should have skills and experience with developing M&E plans as well as collecting and analyzing data. Many evaluations rely on both quantitative and qualitative techniques, which should be considered. It is also critically important that the team not only effectively conduct the M&E work, but also communicate the findings through reports, presentations, and other forums. This will promote buy-in, transparency and accountability.

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Several tools are available to assist with M&E efforts from inception to completion. A few types of software which may aid in M&E are highlighted in the table below.

TypeName & DescriptionPros and Cons
Quantitative data collectionGoogle Forms
  • Free
  • Easy to develop and share surveys
  • Only requires a Google account
 RedCap
  • Sophisticated survey tracking
  • Advanced survey development and branching logic
  • Detailed data reports
  • Allows different user permissions
  • Requires licence from institution
 ODK
  • Advanced survey development and branching logic
  • Detailed data reports
  • Allows different user permissions
  • Free to access
Quantitative data analysisR Project
  • Free to access
  • Advanced techniques for data cleaning, visualization, and analysis
  • Advanced capabilities in mapping
  • Many online resources available to assist with coding
  • Difficult to learn compared to other coding languages
 Stata
  • Simple coding and data management approaches
  • Can only manage one dataset at a time
  • Requires a license
  • Free trial is available
  • Numerous online resources for coding
 Python
  • Highly flexible coding language used for data analysis, along with numerous other applications (e.g., gaming, app development)
  • Heavy memory usage on computers
  • Typically regarded as more difficult to learn than other programming languages
  • Many online resources available
Qualitative data analysisNvivo
  • Advanced data import, analysis, and presentation functionality
  • Fast text search capabilities
  • Simple coding mechanism (e.g., drag/drop)
  • Requires a licence
 Dedoose
  • Allows for coding of interviews, audio, and other forms of data
  • Free to use or with low subscription costs for certain features
  • Simple
Geospatial data analysisArcGIS
  • Advanced and user-friendly software for spatial mapping and analysis
  • Active community and resources for tasks
  • No coding required, but instead relies on a desktop application for functions
  • Many online resources and events to support users
  • Requires license
 QGIS
  • Similar to ArcGIS but open source
  • Typically seen as less user-friendly than the ArcGIS application
  • Free to use
  • Many online resources available

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