Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. According to the PLOS ONE case study published on August 20, 2026, a strategy mapping methodology implemented in a browser-based tool was used in a four-workshop participatory evaluation with 15 healthcare staff between April and June 2023 and produced 10 participant-developed recommendations. According to the PLOS ONE article, ten follow-up semi-structured interviews were conducted in spring 2024 to assess perceived use and value of the recommendations. This post explains what the PLOS ONE study found, shows how AI-enabled qualitative research practices can reproduce and improve those outcomes, and gives practical next steps for evaluation teams and qualitative researchers.
Key Takeaways
According to the PLOS ONE case study, strategy mapping software enabled 15 participants to co-produce 10 recommendations during workshops held April–June 2023, and ten follow-up interviews were conducted in spring 2024 to assess impact (PLOS ONE).
- 15 healthcare professionals participated in the workshop series conducted between April 3 and June 12, 2023, according to PLOS ONE (Björnqvist et al., published August 20, 2026).
- The workshops produced 10 participant-developed recommendations, as reported in PLOS ONE on August 20, 2026.
- In spring 2024, PLOS ONE reports that ten semi-structured follow-up interviews were completed to evaluate perceived use and clarity of the recommendations.
- PLOS ONE notes the authors used an LLM (M365 Copilot, GPT-5) to translate and recreate visual maps, and the model outputs were reviewed by the authors for accuracy.
What happened and how the study measured impact
Answer: The PLOS ONE case study used a four-workshop strategy mapping process, applied in software, to run a participatory evaluation of COVID-19 crisis management and then measured perceived use via interviews.
According to PLOS ONE, the evaluators ran four workshops with the unit for communicable disease and infection control: a blind gather and causal mapping workshop on April 3, 2023, a validation workshop on April 6, 2023, a recommendation-development workshop on April 24, 2023, and an in-person validation workshop on June 12, 2023.
According to PLOS ONE, all 15 unit employees were invited and engaged across the workshops, the mapping outputs yielded 10 final recommendations, and the authors interviewed ten participants in spring 2024 to code perceived usage of each recommendation.
According to PLOS ONE, the authors used Microsoft Word speech-to-text for initial transcription and then manually corrected transcripts; the authors also used M365 Copilot (GPT-5) to translate Swedish map statements into English and to recreate visual maps, with human verification of those AI outputs.
Findings snapshot
| Date | Metric | Value | Implication (PLOS ONE attribution) |
|---|---|---|---|
| April 3, 2023 | Workshop 1 (blind gather + causal mapping) | Started with 15 invited participants | Built initial risk system and participant blind input (PLOS ONE, August 20, 2026) |
| April 6, 2023 | Workshop 2 (validation) | Subsystem validation; participant ratings 1–10 | Participants rated importance to guide later workshops (PLOS ONE, August 20, 2026) |
| April 24, 2023 | Workshop 3 (recommendation drafting) | Participants generated and rated recommendations | Ratings on effectiveness and feasibility selected recommendations for refinement (PLOS ONE, August 20, 2026) |
| June 12, 2023 | Workshop 4 (in-person validation) | Final validation of 10 recommendations | Produced final recommendations presented in the evaluation report (PLOS ONE, August 20, 2026) |
| Spring 2024 | Follow-up interviews | 10 semi-structured interviews | Used directed content analysis to assess recommendation use and perceptions (PLOS ONE, August 20, 2026) |
Implications for evaluators and qualitative researchers
Answer: The PLOS ONE case study suggests participatory strategy mapping in software increases perceived actionability but requires attention to recommendation clarity and facilitator role.
According to PLOS ONE, participants valued the causal mapping and rating features as they supported both individual idea generation and collective prioritization, and interviewees described the process as “innovative and useful” (Interviewee 9 in PLOS ONE, August 20, 2026).
According to PLOS ONE, common weaknesses were that recommendations could be too COVID-19 specific or too vague for direct implementation, and several interviewees called for clearer, more actionable wording or facilitator refinement (PLOS ONE, August 20, 2026).
According to PLOS ONE, the study authors suggest shortening or combining workshops in some settings and recommending a facilitator role that improves recommendation clarity while preserving participant ownership (PLOS ONE, August 20, 2026).
How Evidano helps teams running strategy mapping software evaluations
Problem: Long manual transcripts and error-prone translation
Solution: Evidano provides integrated, editable speech-to-text and translation workflows so evaluators avoid manual re-transcription and maintain traceability.
According to the PLOS ONE study, the authors transcribed with Microsoft Word and manually corrected outputs and used an LLM for translation (PLOS ONE, August 20, 2026); Evidano’s speech-to-text and translation tools automate those steps with reviewable edits and custom dictionaries.
Problem: Turning participant maps and open-ended workshop text into actionable, coded recommendations
Solution: Evidano extracts themes, codes participant statements, and produces frequency and cross-segment analyses so facilitators can identify ambiguous recommendations and clarify wording before final validation.
According to PLOS ONE, participants rated and clustered statements to identify central risks and recommendations (PLOS ONE, August 20, 2026); Evidano’s thematic analysis and visualization features on the features page accelerate synthesis and traceability from raw statements to final recommendations.
Problem: Measuring and documenting perceived use over time
Solution: Evidano supports longitudinal project workspaces to store workshop maps, transcripts, ratings, and follow-up interview data so evaluators can run reproducible directed content analysis and report changes across dates.
According to PLOS ONE, the authors coded recommendation use and effect across interviews in spring 2024 (PLOS ONE, August 20, 2026); Evidano keeps data and codes linked to source utterances to support audits and governance.
FAQ: strategy mapping software for participatory evaluation
How effective is strategy mapping software for generating usable recommendations?
Answer: The PLOS ONE case study reports it can be effective: 15 participants produced 10 recommendations and most interviewees reported at least partial use (PLOS ONE, August 20, 2026).
Supporting detail: According to PLOS ONE, participants used ratings and causal centrality tools to prioritize risks and form recommendations, but the study also notes that some recommendations required clearer wording or facilitator refinement to become actionable.
Can AI be used inside this workflow without compromising validity?
Answer: Yes, when AI is used transparently and outputs are human-verified, as in the PLOS ONE study where GPT-5 aided translation and authors verified the outputs (PLOS ONE, August 20, 2026).
Supporting detail: According to PLOS ONE, the LLM was not used for analysis or interpretation, and all AI-produced translations and visuals were reviewed for fidelity by the authors.
How should facilitators balance stakeholder ownership and recommendation quality?
Answer: The PLOS ONE authors recommend limited facilitator post-processing and a short validation loop so facilitators can improve clarity while preserving ownership (PLOS ONE, August 20, 2026).
Supporting detail: According to PLOS ONE, interviewees valued ownership but also requested clearer and more specific wording, suggesting a facilitator-edited draft with participant re-validation.
What practical dates and sample sizes did the PLOS ONE case use that I can benchmark against?
Answer: Use the PLOS ONE study’s benchmarks: workshops April 3–June 12, 2023 with 15 participants and 10 follow-up interviews in spring 2024 (PLOS ONE, August 20, 2026).
Supporting detail: According to PLOS ONE, these dates and counts supported thorough mapping, validation, recommendation drafting, and follow-up assessment of perceived use.
Conclusion & Next Steps
According to PLOS ONE, strategy mapping software combined with participatory workshops generated 10 participant-developed recommendations from 15 staff in workshops held April–June 2023 and yielded measurable follow-up data from ten interviews in spring 2024 (PLOS ONE, August 20, 2026).
For qualitative researchers and evaluators, the concrete lessons in the PLOS ONE article are: keep participant ratings and causal maps, plan for facilitator refinement of recommendation wording, and collect longitudinal follow-up data to measure use.
If you want to reproduce and scale this AI-enabled qualitative workflow, Evidano helps by integrating transcription, translation, theme coding, and visualizations while preserving human verification and data security; see our features page for details.
Next step: to test these processes on your next evaluation project, Try Evidano for free.
Topics
- strategy mapping software for participatory evaluation
- participatory evaluation software
- AI-enabled qualitative research
- causal mapping workshops
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