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Digital Personas

The Digital Personas study set out to use Qualitative Surveys at Scale to understand the barriers and benefits to digital connectivity for women and girls in developing countries, and how these intersect with lives and livelihoods outcomes. The project addressed a fundamental gap in the research landscape: the absence of qualitative data at scale that could generate meaningful insights for vulnerable women and girls.

About

3,500 women

We interviewed over 3,500 women across seven populations in Kenya, Nigeria, and Senegal, covering both urban and rural settings. The study focused specifically on women who already had some access to a phone, with the goal of understanding the texture of their digital lives rather than measuring basic access 

350,000 audios

The survey generated over 350,000 audios clips across the five regions where audio data was processed all audio responses were manually translated into English by local translators except swahili where we used our model. 

Across 3 countries

The survey was conducted in Kenya, Nigeria and Senegal

Summarized Results

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Digital Lives of Women: Barriers and Drivers

This deck presents the detailed findings of the Digital Personas study across six themes: affordability, discontinuities, gender norms, skills and learning, health, and relevance. It explores what pulls women toward digital technology, the desire to earn money, learn, and access health information, and the barriers that interrupt their access, from charging and data costs to shame, harmful content, and community pressure. Survey data is paired with voice responses and sociolinguistic analysis to surface not only what women do, but how they feel, offering policymakers, donors, telcos, service providers, and designers a grounded evidence base for building solutions that fit the realities of women's digital lives.

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Full Reports

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Deep Dive by Theme and Country

Women are pulled toward digital technology by clear desires, to earn money, expand their knowledge, and access health information, yet their journeys are repeatedly interrupted: by practical barriers like phone charging and data costs, by self-imposed restrictions shaped by social norms and harmful online content, and by confidence gaps such as shame about asking for help. Across a seven-part series, the deck traces how these barriers shift between countries and between urban and rural settings, offering policymakers, donors, telcos, digital service providers, and designers a grounded view of the realities women navigate every day.

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Methodology

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Decodis' Methodology for Qualitative Research at Scale

This paper sets out the methodology behind the Digital Personas study. Designed so that respondents did not need to be literate to take part, the study combined keypad and open-ended voice responses, audio skits that invited women to react to fictional scenarios rather than speak about themselves directly, AI-assisted coding of open-ended responses, and sociolinguistic analysis of the audio itself to surface emotional signals that content alone cannot reveal. The paper walks through each stage of the work, from sampling and recruitment to survey delivery, audio processing, and reporting, and closes with a summary of the study's key findings on what drives women toward digital tools and what holds them back.

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Events

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Webinars

See our past and upcoming events discussing and disseminating our findings from this project.

Events

Skits

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Using Skits to Ask About Complex Issues

A central methodological innovation was the use of audio skits. Rather than asking respondents directly about abstract concepts like data privacy or digital risk — questions that often produce thin or socially desirable answers — we scripted short dramatized scenarios performed by voice actors in local languages. Participants listened and then reflected on what they heard, which gave them distance from the topic and made sensitive issues easier to discuss candidly.

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Data Sets

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Anonymized Data Sets and Codebooks

For each of the seven themes explored in the Digital Personas study, we are publishing the underlying respondent-level data as anonymized Excel files, alongside codebooks that explain every variable. Each file is organized by country, with separate sheets for Kenya, Nigeria, and Senegal, and contains the coded responses from over 3,500 women interviewed across urban and rural settings. Respondents are identified only by anonymized IDs, with no personally identifying information retained. The data sets capture both keypad responses and the coded outputs of voice answers, allowing researchers, policymakers, and designers to interrogate the findings directly, replicate the analysis, or build their own work on top of a comparable cross-country evidence base.

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Partners and Collaborators

This work was funded by the Gates Foundation. Decodis collaborated with Quicksand and YUX to create a mixed methods approach bringing together large sample and thick data. Quicksand and YUX led in-person qualitative research across Kenya, Nigeria, and Senegal, providing the depth and nuance to capture women's digital lives in context. Decodis paired this with its large-sample work, anchoring the resulting personas within the Gates Foundation's Pathways segments.

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