Course curriculum

  • 1

    Chapter 0 - Introduction

    • 0.1.1 Introduction by Schneider

    • 0.1.2 Partner testimonial

    • 0.2 Introduction to the training program

    • 0.3 πŸŽ“ What is social impact and how to measure it?

    • 0.4 πŸ‘©β€πŸ’» Introduction to Impact Track

    • 0.5 Manage project members

    • TO DO βœ”οΈ First steps

  • 2

    Chapter 1 - Common framework

    • Chapter 1: Introduction

    • 1.1.1 πŸŽ“ How to frame you approach to impact measurement ?

    • 1.1.2 πŸŽ“ Identifying and describing stakeholders

    • 1.1.3 πŸ‘©β€πŸ’» Add stakeholders to your project

    • TO DO βœ”οΈ Stakeholders

    • 1.2.1 πŸŽ“ What is the Theory of Change?

    • 1.2.2 πŸ‘©β€πŸ’» Elaborate your own theory of change

    • TO DO βœ”οΈ Theory of Change

  • 3

    Chapter 2 - Indicators creation

    • Chapter 2: Introduction

    • 2.1 πŸŽ“ Key notions and types of indicators

    • 2.2 πŸŽ“ Different methods to evaluate impact

    • 2.3 πŸŽ“ Indicators categories and status

    • πŸ‘©β€πŸ’» 2.4 Create indicators on Impact Track

    • TO DO βœ”οΈ Indicators

  • 4

    Chapter 3 - Data gathering

    • Chapter 3: Introduction

    • 3.1.1 πŸŽ“ Introduction to social impact data gathering

    • 3.1.2 πŸŽ“ How to obtain representative data?

    • TO DO βœ”οΈ Data gathering context

    • 3.1.3 πŸ‘©β€πŸ’» Introduction to the data gathering tab on Impact Track

    • 3.2.1 πŸŽ“ Best practices for an efficient form

    • 3.2.3 πŸ‘©β€πŸ’» How to create a form

    • 3.2.4 πŸ‘©β€πŸ’» Creating a form in a second language

    • 3.2.5 πŸ‘©β€πŸ’» Creating a campaign to share your forms

    • TO DO βœ”οΈ Data gathering tools

    • 3.3.1 πŸŽ“ How to prepare your data gathering plan

    • 3.3.2 πŸŽ“ How to distribute an online survey ?

    • TO DO βœ”οΈCheckpoint 1

    • 3.4 πŸ‘©β€πŸ’» Entering data manually

  • 5

    Chapter 4 - Data analysis

    • Chapter 4: Introduction - Data analysis for impact measurement

    • 4.2.1 πŸ‘©β€πŸ’» How to format your data: building graphs

    • 4.2.2 πŸŽ“ Statistical representativeness analysis: checking that the results obtained are reliable

    • 4.2.3 πŸŽ“ Characterisation analysis: Check that the project reaches the desired target group

    • 4.2.4 πŸŽ“ Follow-up analysis: Track the evolution of your key indicators over time

    • 4.2.5 πŸŽ“ Contribution analysis: Verify that the effects obtained are attributable to the project

    • 4.2.6 πŸŽ“ Semantic analysis: Analyzing answers to open-ended questions

    • Bonus πŸ‘©β€πŸ’» Impact radar

    • 4.3.1 πŸ‘©β€πŸ’» Creating customized dashboard

    • CHECKPOINT 2

  • 6

    Chapter 5 - Results exploitation

    • Chapter 5: Introduction

    • 5.2.1 πŸŽ“ Before getting started, a few tips and ground rules

    • 5.2.2 πŸŽ“ Clarify your communication objectives

    • 5.3.1 πŸ‘©β€πŸ’» First steps to create your Impact Page