This post explains how researchers can use qualitative methods and AI-enabled synthesis to study digital gender inclusion in Pakistan. The primary keyword for this post is "digital gender inclusion qualitative research" and the intended audience is qualitative researchers, program designers, and policy analysts working on gender and digital inclusion in low-resource settings. According to PLOS One, the study protocol by Shahil-Feroz et al. (published 20 August 2026) focuses on co-design, family gatekeepers, and community-based participatory research in Azam Basti, Karachi. According to PLOS One, the protocol plans a sample of approximately 36–45 participants and schedules data collection from August 2026 through April 2027. This post summarizes key facts from the PLOS One protocol, extracts methods that are reproducible for qualitative teams, and shows practical ways AI-enabled platforms can accelerate transcription, translation, thematic coding, and cross-segment analysis for CBPR projects.
Key Takeaways
According to PLOS One, the Shahil-Feroz et al. study protocol (published 20 August 2026) will use CBPR, photo-elicitation, role-play, and co-design workshops to investigate why marginalized women in Azam Basti, Karachi, lack access to digital technologies.
- According to PLOS One, Pakistan ranked 145th out of 146 in the Global Gender Gap Index in 2024, highlighting entrenched gender inequality.
- According to PLOS One and the GSMA Mobile Gender Gap Report 2024, women in Pakistan were 38% less likely than men to own a mobile phone or access mobile internet in 2024.
- According to PLOS One, the protocol will recruit approximately 36–45 participants across FGDs, interviews, and co-design workshops, with participant recruitment planned for August–November 2026 and data collection completed by April 2027.
- According to Shahil-Feroz et al. (PLOS One, 20 August 2026), the study foregrounds "deeply entrenched sociocultural barriers" as a core driver of women’s digital exclusion.
- According to the United Nations definition cited in PLOS One, digital inclusion means "equitable, meaningful, and safe access to use, lead, and design of digital technologies, services, and associated opportunities for everyone, everywhere."
What Happened: Study design and methods in the PLOS One protocol
Answer: The PLOS One protocol describes a three-phase CBPR study in Azam Basti, Karachi that uses advisory committees, FGDs, interviews, and co-design workshops to explore and address gender-based digital exclusion.
According to PLOS One, Phase 1 forms a Community Advisory Committee (CAC) with community leaders, two marginalized women, and three family gatekeepers to co-lead the project and meet quarterly.
According to PLOS One, Phase 2 uses two FGDs per participant group (4–5 participants per group), 4–5 in-depth interviews per group, photo-elicitation for women, and role-play for gatekeepers to surface norms and decision pathways.
According to PLOS One, Phase 3 runs 3 co-design workshops (8–10 participants each) to generate 2–3 community-tailored strategies and knowledge translation materials for local stakeholders.
Findings Snapshot
| Date | Metric | Value | Implication |
|---|---|---|---|
| 2024 | Global Gender Gap ranking | 145 out of 146 | According to PLOS One, indicates extreme gender inequality relevant to digital access. |
| 2024 | Mobile ownership gap (Pakistan) | Women 38% less likely to own mobile or access mobile internet | According to PLOS One and GSMA 2024, interventions must address sociocultural constraints, not only device supply. |
| Feb 2026–Jan 2028 | Project timeline | 2-year project starting Feb 2026; recruitment Aug–Nov 2026; data collection completed Apr 2027; results late 2027 | According to PLOS One, timeline highlights staged CBPR work and planned policy translation. |
| 2025 | Funding | $70, 626 (SSHRC Insight Development Grant) | According to PLOS One, funding supports fieldwork, CAC, and co-design activities. |
| Fieldwork plan | Sample size | Approximately 36–45 participants | According to PLOS One, theoretical saturation will guide final sample size. |
Implications for qualitative researchers studying digital gender inclusion
Answer: The PLOS One protocol implies that researchers should prioritize community partnership, mixed participatory methods, and household-level engagement when studying gendered digital exclusion.
According to PLOS One, including family gatekeepers (male relatives and elderly women) is essential because household decision-making shapes access to devices and norms.
According to PLOS One, photo-elicitation and role-play are recommended to surface tacit norms and to safely explore sensitive topics in group settings.
According to PLOS One, reflexive thematic analysis with co-analysis by the advisory committee increases credibility and local relevance of themes and interventions.
How Evidano Helps: speeding CBPR analysis, transcription, translation, and co-design
Problem: Long transcription and translation timelines for Urdu/Sindhi interviews
Solution: Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.
According to the PLOS One protocol, FGDs and interviews will be conducted in Urdu (or Sindhi where required) and then translated to English for analysis; Evidano's speech-to-text and translation pipelines handle multi-language transcription and translation with custom dictionaries to preserve local terms and reduce manual back-and-forth.
Problem: Reflexive thematic analysis and co-analysis with community advisory committees is time consuming
Solution: According to best practices cited in PLOS One, two researchers independently code data and then compare themes; Evidano accelerates this by generating initial reflexive code suggestions, frequency counts, and co-occurrence networks so teams can focus CAC meetings on interpretation rather than coding.
Solution: Evidano’s thematic, content, frequency, and cross-segment analyses allow teams to compare themes across participant groups (marginalized women, gatekeepers, community leaders) as the protocol recommends for comparative analysis.
Problem: Managing multimodal data from photo-elicitation and role-play
Solution: According to PLOS One, the study includes visual prompts and role-play transcripts; Evidano ingests images and linked transcripts, tags visual themes, and links visual data to coded excerpts so researchers can trace how images triggered specific narratives during FGDs.
Solution: For teams piloting participatory methods as in the protocol, Evidano’s visual co-occurrence and hierarchical coding views help synthesize what images and scenarios produce convergent or divergent themes across groups.
Problem: Producing policy briefs and stakeholder reports for timely dissemination
Solution: According to PLOS One, the project plans stakeholder reports and policy briefs; Evidano exports theme summaries, verbatim quotes grouped by theme and segment, and visualization-ready charts that accelerate evidence translation for ministries and telecom regulators.
For platform details see Evidano features and consult the security overview at Evidano Data Security when planning ethics and data governance.
FAQ: digital gender inclusion qualitative research
How can qualitative methods reveal causes of Pakistan's digital gender gap?
Answer: Qualitative methods reveal mechanisms by capturing lived experiences, household decision dynamics, and sociocultural narratives that quantitative surveys miss.
According to PLOS One, methods such as photo-elicitation and role-play make tacit norms visible by prompting participants to describe images and act out decision scenarios, which surfaces reasons behind device restrictions.
Why include family gatekeepers in research on women's digital access?
Answer: Family gatekeepers are included because household authority shapes whether women can own or use devices.
According to PLOS One, the protocol engages male partners, brothers, and elderly women because these actors control decisions about mobility, safety perceptions, and reputational risk that affect women’s access.
Can AI tools bias qualitative analysis when used in participatory projects?
Answer: AI tools can introduce bias if used uncritically, but they can be used safely to accelerate routine tasks while preserving human analytical control.
According to methodological best practices cited in PLOS One, reflexive thematic analysis requires human interpretation; Evidano supports that workflow by offering AI-assisted coding suggestions and human-in-the-loop review rather than replacing community co-analysis.
What sample size and saturation approach does the PLOS One protocol use?
Answer: The protocol plans approximately 36–45 participants and will stop recruitment based on theoretical saturation.
According to PLOS One, the final number of FGDs and interviews depends on saturation and will follow purposive sampling and established saturation guidance.
Conclusion & Next Steps
According to PLOS One, the Shahil-Feroz et al. protocol (published 20 August 2026) demonstrates that CBPR, advisory committees, and participatory tools are central to designing effective digital gender inclusion strategies for marginalized women.
According to PLOS One, combining photo-elicitation, role-play, and co-design can surface household norms and produce community-owned solutions that go beyond individual digital literacy programs.
Next steps: researchers can adapt the protocol’s methods, pre-register timelines (recruitment Aug–Nov 2026, data collection by Apr 2027 as outlined in the protocol), and use AI-enabled platforms to accelerate transcription, translation, coding, and policy outputs.
If you want to prototype the analytic workflow described here, Try Evidano for free.
Topics
- digital gender inclusion qualitative research
- gender digital divide Pakistan
- CBPR digital inclusion
- qualitative methods photo-elicitation
- AI-enabled qualitative analysis
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