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Measure & LearN

Our goal is to identify which digital actions and touchpoints work, which ones don’t, and find ways to improve programs as we go

The Challenges with Traditional Measurement

Not based on behavioral data

Most data is attendance data

Usually change is self reported and gathered in long surveys

Long lead time between data gathering and revision and implementation

What Success Looks Like

Teams identify important indicators to capture before, during, and after sessions

You have the right tools to capture and anlyze real-time feedback

Teams make space for participants voices, behaviors and their needs

Teams revise interactions based on feedback and digital behavior

Measurement and learning doesn’t have to be complicated. Here are five different practical and simple approaches to listen, learn, and level up

WAYS TO MEASURE & LEARN

Self Reported Tools: Quick Pulse Checks

To get real-time feedback on how people feel about the programs, design short-targeted surveys or check-ins during or right after a session to measure relevance, usefulness, and satisfaction

Tools

– Online surveys (Google Forms, Typeform) that include Likert scale, multiple-choice questions, or/and open-ended questions for deeper insights.
– Voice note responses via WhatsApp or Telegram

Key Indicators to Keep Track Of

– Net Promoter Score (NPS): "How likely are you to recommend this program to a friend?"
– Relevance: "Was this useful for your situation?"
– Satisfaction: "How would you rate today's session?"
– Confidence shifts: Before/after questions on motivation

Useful Resources

WAYS TO MEASURE & LEARN

Conversations: Deep Dives

Take the time to go deeper with structured interviews and casual debriefs to better understand the emotional context and barriers. Ask, listen, and explore what’s underneath

Tools

– One-on-one interviews
– Post-session debriefs
– Peer retrospectives
– Focus groups (in person or via Zoom)

Key Indicators to Keep Track Of

– Recurring themes
– Frequency of challenges
– Actionable suggestions for program improvements

Useful Resources

  • Guide for interviews

    Craft effective qualitative user interview questions

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  • Guide for retrospectives

    Learn how to use Agile Retrospective to collect Client Feedback

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  • Audio-to-text tools (Tactiq)

    Learn how to use Tacqtic, an automatic speech recognition tech to provide transcription of interviews

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WAYS TO MEASURE & LEARN

Community Listening: How They React

Monitor how participants / users are reacting in group chats, forums, and shared spaces. Track reactions, questions, interactions, and suggestions

Tools

– WhatsApp groups (threads, comments)
– Facebook groups (polls and reactions, publications)
– Comment threads on shared resources or communities

Key Indicators to Keep Track Of

– Number of comments or replies
– Type of questions being asked
– Emoji reactions (as a signal of sentiment)
– Emerging topics or concerns

Useful Resources

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WAYS TO MEASURE & LEARN

Behavioral Analytics: What They Do

Track what participants / users actually do. Do they show up to your sessions? Do they interact and engage with the activities you design? Use this data to lead your design and spot gaps between your objectives and behaviors

Tools

– Zoom or WhatsApp group analytics
– Session attendance patterns
– Chat activity

Key Indicators to Keep Track Of

– Attendance and drop-off rates
– Completion rates for activities
– Number and timing of messages sent
– Engagement peaks during a session or activity

Useful Resources

  • How to Measure Customer Engagement in Whatsapp

    Focus on a set of key metrics that reflect customer engagement with this guide.

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  • How to Track Engagement in Facebook

    View insights about a Facebook group that you admin

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  • Zoom Meeting Reports Guide

    How to download attendance, polling, and registration reports on Zoom.

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WAYS TO MEASURE & LEARN

AI-Powered Analysis

Use chatbots like Equimundo’s Aly to collect, analyze, and respond to user insights. Imagine a chatbot is in charge of collecting, analyzing and synthesizing the data in real time so that you can be in charge of designing your sessions

Tools

– Chatbots with feedback prompts
– AI transcriptions
– Analysis and synthesis

Key Indicators to Keep Track Of

– Question patterns: What participants ask
– Recurring themes
– Frequency of challenges
– Actionable suggestions for program improvements
– Net Promoter Score (NPS), Satisfaction and more

Useful Resources

  • he Role of AI in Qualitative Data Collection and Analysis

    Learn more about the power of AI in qualitative research

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Finally, It Is All About Adopting the Right Mindset

To make the most of the methods and tools on the site, we recommend adopting an iterative mindset. This means starting small, learning from what works, and continuously improving your digital approaches rather than attempting perfect solutions immediately.

These are the recommended steps for an iterative mindset:

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