Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. The PLOS ONE study protocol "Why are women not online? " (published Aug 20, 2026) maps a community-based qualitative approach to understand gender-based digital exclusion in Azam Basti, Karachi, and offers a practical test case for AI-enabled qualitative research. Qualitative researchers, program evaluators, and policy teams can use the primary keyword "qualitative analysis digital gender gap" to find reproducible methods, concrete metrics, and analytic shortcuts that speed synthesis and policy-ready outputs.
Key Takeaways
According to the PLOS ONE study protocol published Aug 20, 2026, researchers will use community-based participatory research, photo-elicitation, role play, and reflexive thematic analysis to explain why marginalized women in Azam Basti, Karachi, lack access to digital technologies. According to the PLOS ONE article, the project is scheduled to begin in February 2026 and aims to recruit participants in August–November 2026.
- The PLOS ONE protocol estimates a total sample of approximately 36–45 participants across FGDs, interviews, and co-design activities, with data collection expected to finish by April 2027.
- The PLOS ONE protocol cites the GSMA Mobile Gender Gap Report 2024 showing women in Pakistan are 38% less likely than men to own a mobile phone or access mobile internet (GSMA 2024).
- The PLOS ONE protocol notes Pakistan ranked 145 of 146 in the Global Gender Gap Index 2024, underscoring structural gender barriers (World Economic Forum 2024).
- The PLOS ONE authors frame the core barrier as "deeply entrenched sociocultural barriers, " and they propose co-design with family gatekeepers and community leaders to develop sustainable inclusion strategies (Shahil-Feroz et al., PLOS ONE, 2026).
What happened and how the PLOS ONE study works
Answer: The PLOS ONE study protocol (published Aug 20, 2026) defines a staged qualitative design to examine gender-based digital exclusion among marginalized women in Azam Basti, Karachi. The PLOS ONE protocol uses Technofeminism and community-based participatory research, three phases, and reflexive thematic analysis to surface sociocultural and household drivers.
According to the PLOS ONE authors, Phase 1 creates a Community Advisory Committee with two community leaders, two marginalized women, and three family gatekeepers, meeting quarterly and receiving PKR 4500 (16 USD) total compensation across sessions. According to the PLOS ONE protocol, Phase 2 includes two focus group discussions per participant group and 4–5 individual interviews per group, using photo-elicitation for women and role play for gatekeepers, with interviews transcribed in Urdu and translated to English for analysis.
According to the PLOS ONE protocol, Phase 3 conducts 3 co-design workshops with 25–30 participants overall to translate findings into locally owned strategies. The PLOS ONE protocol states that analysis uses Braun and Clarke’s reflexive thematic analysis with independent double-coding and NVivo for organization.
Findings Snapshot
| Date | Metric | Value | Implication |
|---|---|---|---|
| Aug 20, 2026 | Study protocol published | PLOS ONE | Provides timeline, methods, and sample estimates for qualitative study on digital gender exclusion |
| 2024 | Mobile gender gap in Pakistan | Women 38% less likely to own a mobile or access mobile internet (GSMA 2024) | Quantifies access gap to anchor qualitative findings to policy arguments |
| 2024 | Global Gender Gap rank | Pakistan ranked 145 of 146 (World Economic Forum 2024) | Situates local barriers within national gender inequality metrics |
| Feb 2026 – Jan 2028 | Project timeline | Two-year project starting Feb 2026; participant recruitment Aug–Nov 2026; data collection complete by Apr 2027 | Enables planners to align funding, staffing, and dissemination windows |
Implications for qualitative researchers and program teams
How should qualitative teams prioritize participants and gatekeepers?
Answer: Prioritize purposive recruitment that includes marginalized women, family gatekeepers, and community leaders, because the PLOS ONE protocol identifies household decision-makers as central determinants of access. The PLOS ONE authors argue that including male relatives and elderly women in co-design moves beyond awareness campaigns to shift norms.
Practical step: budget for a Community Advisory Committee and compensation, as the PLOS ONE protocol specifies three CAC sessions and PKR 4500 total for CAC participants.
Which participatory methods work best for exploring gendered technology norms?
Answer: Photo-elicitation and role-play are effective methods, because the PLOS ONE protocol uses curated images and scenario-based role-playing to surface values, fears, and decision-making practices. The PLOS ONE protocol uses a three-step "ladder" of questioning for images to move from description to interpretation.
Practical step: pilot image sets and role-play scripts with local advisors, as the PLOS ONE protocol reviewed all images with the advisory committee and generated images with cultural sensitivity in mind.
How to connect qualitative findings to policy timelines?
Answer: Map qualitative themes to measurable policy levers, because the PLOS ONE protocol plans stakeholder reports and policy briefs for agencies such as the Pakistan Telecommunication Authority and Ministry of Information Technology. The PLOS ONE authors expect results to inform SDG-related policy areas.
Practical step: extract theme-frequency matrices and cross-segment comparisons to produce concise, actionable recommendations for regulators and donors.
How Evidano helps with AI-enabled qualitative analysis
Problem: Multi-language transcription and translation slow analysis
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.
Solution: Use Evidano’s transcription and translation workflows to convert Urdu/Sindhi audio to clean transcripts and to produce draft English translations, reducing manual transcription time and preserving participant wording for reflexive thematic analysis. See Evidano transcription features at Evidano Speech-to-Text.
Problem: Synthesizing FGDs, photo-elicitation, and role-play data
Answer: Evidano automates thematic coding, frequency counts, and cross-segment analysis so teams can compare marginalized women, gatekeepers, and community leaders quickly.
Solution: Use Evidano to ingest transcripts, photo-elicitation notes, and co-design outputs, then run thematic and co-occurrence analyses to produce theme matrices for policy briefs. Learn more on Evidano Features.
Problem: Community-engaged teams need iterative, auditable analysis
Answer: Evidano captures coding histories, coder agreements, and memos to support reflexive thematic analysis, because the PLOS ONE protocol emphasizes reflexivity, memos, and advisory committee review. Evidano’s audit trails support transparent reporting and community validation.
FAQ: qualitative analysis digital gender gap
How many participants will the PLOS ONE study use and why does that matter for analysis?
Answer: The PLOS ONE protocol plans approximately 36–45 participants across FGDs, individual interviews, and co-design workshops, because the authors expect theoretical saturation within that range. The sample size matters because it sets expectations for coding depth, between-group comparisons, and the level of detail needed in thematic matrices.
Can AI tools respect community ethics when handling sensitive qualitative data?
Answer: Yes, when platforms enforce local ethics workflows and data protection, because the PLOS ONE protocol includes ethics approvals and informed consent procedures and expects careful handling of group confidentiality. Researchers should ensure transcription and storage tools follow approved consent terms and maintain auditable redaction and access controls.
What is the fastest way to convert Urdu transcripts into policy-ready themes?
Answer: Combine reliable Urdu transcription, translation, automated thematic coding, and human validation, because the PLOS ONE protocol transcribes in Urdu and then translates to English for analysis. Practical workflow: transcribe in-language, run AI-assisted code suggestions, then have local researchers and the advisory committee validate themes before drafting recommendations.
Are quotes from participants usable in policy briefs if translated by AI?
Answer: Yes, if translations are reviewed by bilingual researchers and the advisory committee, because the PLOS ONE protocol requires bilingual researchers to translate transcripts and co-analyse data with the advisory committee. Always include original-language excerpts in appendices when possible.
Conclusion & Next Steps
The PLOS ONE study protocol (published Aug 20, 2026) provides a concrete, community-engaged blueprint for studying gender-based digital exclusion in Pakistan, combining photo-elicitation, role-play, and co-design to shift household and community norms.
Researchers and program teams can accelerate translation from transcripts to policy by using AI-enabled workflows that handle transcription, translation, thematic coding, and audit trails.
If you run community-based qualitative research and want to speed reflexive analysis, exportable theme matrices, and co-design outputs, try a platform built for those use cases. Try Evidano for free
Topics
- qualitative analysis digital gender gap
- AI qualitative research Pakistan
- thematic analysis mobile gender divide
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