Familiarization
Review transcripts multiple times and record an overall understanding.
Enter the private analysis secret. It is retained only for this browser session.
Compile de-identified stakeholder evidence, develop codes and themes, document reflexive decisions, and translate findings into a traceable Prototype Revision Log.
Research question: How do everyday residents and relevant stakeholders describe the needs, concerns, and practical conditions that should inform a mobile app prototype for human–wildlife encounter guidance and reporting?
Review transcripts multiple times and record an overall understanding.
Code meaningful segments related to risk, guidance, features, reporting, trust, privacy, and barriers.
Group codes into broader patterns across participant responses.
Refine categories into themes explaining practical and ethical conditions.
Check themes against participant evidence and record contrary cases.
Interpret through pragmatism, socio-technical systems, responsible innovation, and coexistence.
Counts indicate how many coded interview records currently contain each code, category, or candidate theme. Frequency supports organization; it does not determine qualitative importance.
Entries may originate from screen-by-screen feedback, semi-structured interviews, manual analysis, or—in a later phase—Delphi findings. Automated entries remain Under review until you make an analytic decision.
This report updates from the current interview coding, candidate themes, Revision Log, and audit trail. Delphi and integrated-synthesis sections are structurally ready and will become substantive when those findings are added.
Exports contain coded qualitative research data. Store them only in the secure location approved by the IRB.