Microfinance & Financial Inclusion

Gender Disaggregated Data in Financial Inclusion Training Course

Introduction

Gender Disaggregated Data in Financial Inclusion Training Course equips participants with the knowledge and practical skills to collect, analyze, and utilize gender-specific data to enhance financial inclusion programs. Understanding gender disparities is critical for designing targeted interventions, measuring equitable access, and improving financial outcomes for underserved populations. This course provides participants with tools to incorporate gender perspectives into data systems, ensuring that financial inclusion initiatives are inclusive, responsive, and impactful.

Through hands-on exercises, case studies, and best-practice frameworks, participants learn how to develop gender-sensitive indicators, create disaggregated dashboards, and report findings to stakeholders. The course emphasizes data-driven decision-making, gender analysis, and monitoring frameworks that allow institutions to track progress, identify gaps, and implement effective strategies to achieve gender equity in financial services.

Programme Curriculum

Gender Disaggregated Data in Financial Inclusion Training Course

Introduction
Gender Disaggregated Data in Financial Inclusion Training Course equips participants with the knowledge and practical skills to collect, analyze, and utilize gender-specific data to enhance financial inclusion programs. Understanding gender disparities is critical for designing targeted interventions, measuring equitable access, and improving financial outcomes for underserved populations. This course provides participants with tools to incorporate gender perspectives into data systems, ensuring that financial inclusion initiatives are inclusive, responsive, and impactful.

Course Objectives

Understand the importance of gender-disaggregated data in financial inclusion programs
Develop skills to collect and manage gender-specific data
Strengthen capacity to analyze gender disparities in financial access and usage
Design gender-sensitive indicators and KPIs
Apply gender analysis to digital financial services programs
Integrate gender data into dashboards and reporting tools
Enhance monitoring and evaluation systems for gender outcomes
Improve reporting to donors and stakeholders on gender equity
Build strategies for addressing gender gaps in financial inclusion
Use gender data for program design and policy development
Enhance organizational capacity for gender-responsive decision-making
Support compliance with gender-related reporting standards
Gain practical experience in presenting gender-disaggregated data

Organizational Benefits

Improved gender-responsive program design
Stronger donor and stakeholder confidence
Enhanced monitoring of gender outcomes
Better alignment with gender equity goals
Improved data quality and credibility
Identification of gender gaps and opportunities
Evidence-based decision-making
Greater accountability and transparency
Enhanced reporting capacity
Strengthened organizational capacity for inclusive programs

Target Audiences

M&E officers
Data analysts
Financial inclusion program managers
Digital finance teams
Microfinance institution staff
NGO project coordinators
Donor program officers
Policy and regulatory staff

Course Duration: 10 days

Course Modules

Module 1: Introduction to Gender-Disaggregated Data

Understanding gender-disaggregated data concepts
Importance of gender data in financial inclusion
Key principles for gender-sensitive data collection
Linking gender data to program objectives
Addressing gender gaps in financial services
Case Study: Gender data analysis in rural microfinance programs

Module 2: Gender Analysis in Financial Inclusion Programs

Identifying gender barriers in access and usage
Analyzing gender-specific client behavior
Assessing gender impact on program outcomes
Tools for gender analysis
Integrating gender insights into decision-making
Case Study: Women’s financial behavior analysis in digital finance

Module 3: Designing Gender-Sensitive Indicators

Selecting relevant gender indicators
Linking indicators to program objectives
Measuring access, usage, and outcomes
Developing KPIs for gender inclusion
Aligning indicators with donor requirements
Case Study: Gender KPI development for savings programs

Module 4: Data Collection Methods for Gender Disaggregation

Quantitative data collection techniques
Qualitative data collection techniques
Surveys, focus groups, and interviews
Mobile and digital data collection tools
Ensuring accuracy and reliability
Case Study: Field data collection for gender impact in microcredit

Module 5: Data Cleaning, Validation, and Quality Assurance

Cleaning gender-disaggregated data
Validation methods for accuracy
Data verification processes
Managing missing or inconsistent data
Ensuring credibility and reliability
Case Study: Data validation for women’s microenterprise programs

Module 6: Dashboard Development for Gender Data

Designing gender-disaggregated dashboards
Selecting relevant visualization formats
Linking dashboards to program KPIs
Real-time monitoring of gender indicators
Customizing dashboards for stakeholders
Case Study: Gender dashboard for DFS adoption programs

Module 7: Quantitative Analysis of Gender Data

Statistical methods for gender analysis
Trend identification and interpretation
Comparing gender performance across programs
Visualizing quantitative gender data
Reporting insights to management
Case Study: Quantitative gender analysis for microinsurance programs

Module 8: Qualitative Insights for Gender Outcomes

Coding qualitative data for gender analysis
Using narratives to explain gender trends
Integrating qualitative and quantitative data
Addressing intersectional issues
Reporting gender outcomes effectively
Case Study: Qualitative insights in women-focused lending programs

Module 9: Gender Data Reporting to Donors

Structuring donor reports with gender data
Highlighting gender achievements and challenges
Compliance with donor standards
Presenting gender impact effectively
Using gender data to support funding requests
Case Study: Gender reporting for a regional microfinance donor program

Module 10: Monitoring Gender Equity Progress

Tracking outcomes by gender
Measuring improvements in access and usage
Using dashboards for ongoing monitoring
Identifying areas requiring intervention
Feedback mechanisms for program adjustment
Case Study: Monitoring gender equity in agent network programs

Module 11: Linking Gender Data to Program Impact

Evaluating program contributions to gender equality
Attribution and outcome analysis
Reporting long-term impact
Using gender data to inform strategy
Communicating results to stakeholders
Case Study: Gender impact assessment for digital credit programs

Module 12: Integrating Gender Data into M&E Systems

Embedding gender metrics into monitoring frameworks
Ensuring consistency and standardization
Automating gender reporting
Strengthening internal capacity for gender M&E
Data-driven learning and adaptation
Case Study: Gender integration in MFI M&E systems

Module 13: Advanced Gender Analytics for Financial Inclusion

Predictive analysis for gender outcomes
Identifying trends and gaps
Benchmarking performance by gender
Scenario analysis for policy decisions
Leveraging analytics for interventions
Case Study: Advanced gender analytics in digital finance adoption

Module 14: Stakeholder Engagement and Gender Data

Using gender data to engage stakeholders
Reporting results to clients, staff, and donors
Encouraging gender-responsive decision-making
Feedback collection for improvement
Communicating gender value creation
Case Study: Stakeholder engagement using gender dashboards

Module 15: Practical Exercise: Developing Gender-Disaggregated Data System

Designing a complete gender data system
Integrating dashboards, KPIs, and reporting
Peer review and feedback
Implementation planning
Presentation of final models
Case Study: Participants design a gender-disaggregated data system for a microfinance program

Training Methodology

Interactive presentations and discussions
Practical data collection and dashboard exercises
Group case study analysis
Peer review and feedback sessions
Hands-on development of gender-disaggregated data systems
Workshops for KPI and dashboard creation

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.
f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

ms Word Finscope MIX Market Data Platform FinAccess Household Survey Toolkit

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000