Resilience Design and Monitoring Tool

Survey design and data collection platform

About this platform

This is the online platform for users of the Resilience Design and Monitoring Tool (RDMT), provided to support teams through the full process of using the tool. Existing users may log in above to access the RDMT platform.

What is the RDMT?

The RDMT aims at providing a framework for building the resilience of rural households and a step-by-step guide to designing for and monitoring the performance of resilience-building interventions during project implementation. The methodology offers a concrete, practical and context-specific approach for project delivery teams (PDT), project management units (PMUs), rural communities and other development partners to identify resilience-building interventions and track their adoption and effectiveness in enhancing the resilience capacities of rural households.

Find out more

What is the RDMT?

The RDMT aims at providing a framework for building the resilience of rural households and a step-by-step guide to designing for and monitoring the performance of resilience-building interventions during project implementation. The methodology offers a concrete, practical and context-specific approach for project delivery teams (PDT), project management units (PMUs), rural communities and other development partners to identify resilience-building interventions and track their adoption and effectiveness in enhancing the resilience capacities of rural households.

Find out more

How it works

Project design

Define typologies and build a resilence matrix for each on the platform. Develop a logical framework for a project by unputting risks, vulnerabilities, intended interventions and expected outcomes.

Customised Questionnaire

Start with a standardised questionnaire and structure for monitoring questions based on the typology’s specific resilience matrix. These may be customised to ensure relevance.

Data collection and analysis

Link to ODK and get an overvew to collect, manage and analyse data.