Narrative Analysis of Interview Data
Budget: £250 – £750 GBP
I have just completed a series of in-depth interviews and, alongside some supporting quantitative notes, I now need the stories inside this mixed-method dataset to be surfaced and clearly articulated. The project is centred on narrative analysis: I want to understand how participants construct meaning, where their storylines converge or diverge, and what overarching plotlines emerge.
All interview audio is already transcribed verbatim and lightly anonymised. You will begin by familiarising yourself with the transcripts, then move into coding and narrative structuring. Because I have supplementary numeric observations for each respondent (e.g., demographic tags, brief rating scales), I’m keen for these to be woven into the story map rather than treated as a separate appendix. NVivo or MAXQDA would be the natural tools here, but I am open to Atlas.ti or R packages such as tidytext if that suits your workflow.
Deliverables I need back:
• A coded project file (NVivo, MAXQDA or equivalent) with transparent, clearly labelled code hierarchy
• A narrative matrix that links each storyline to direct quotations and any pertinent quantitative indicators
• A concise written report (approximately 2,500 words) explaining the major narratives, how they interrelate, and what evidence underpins each one
• A brief methods memo so that the analytic steps are fully replicable
Acceptance criteria:
1. Codes and story arcs are traceable from raw text to final report without gaps.
2. Quantitative notes are explicitly connected to the qualitative storyline where relevant.
3. All files open error-free and follow the structure outlined above.
If this sounds like your area of expertise, let’s turn these interviews into a compelling, evidence-based narrative.
All interview audio is already transcribed verbatim and lightly anonymised. You will begin by familiarising yourself with the transcripts, then move into coding and narrative structuring. Because I have supplementary numeric observations for each respondent (e.g., demographic tags, brief rating scales), I’m keen for these to be woven into the story map rather than treated as a separate appendix. NVivo or MAXQDA would be the natural tools here, but I am open to Atlas.ti or R packages such as tidytext if that suits your workflow.
Deliverables I need back:
• A coded project file (NVivo, MAXQDA or equivalent) with transparent, clearly labelled code hierarchy
• A narrative matrix that links each storyline to direct quotations and any pertinent quantitative indicators
• A concise written report (approximately 2,500 words) explaining the major narratives, how they interrelate, and what evidence underpins each one
• A brief methods memo so that the analytic steps are fully replicable
Acceptance criteria:
1. Codes and story arcs are traceable from raw text to final report without gaps.
2. Quantitative notes are explicitly connected to the qualitative storyline where relevant.
3. All files open error-free and follow the structure outlined above.
If this sounds like your area of expertise, let’s turn these interviews into a compelling, evidence-based narrative.