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Improved prompting and process for writing user personas with LLMs, using qualitative interviews: Capturing behaviour and personality traits of users

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arxiv 2310.06391 v1 pith:JD4E3YCX submitted 2023-10-10 cs.HC cs.CLcs.CY

Stefano De Paoli This is my paper · ORCID
classification cs.HCcs.CLcs.CY
keywords personasqualitativeanalysisimprovedinterviewsofferspromptinguser
verification ladder T0 review T1 audit T2 compute T3 formal
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This draft paper presents a workflow for creating User Personas with Large Language Models, using the results of a Thematic Analysis of qualitative interviews. The proposed workflow uses improved prompting and a larger pool of Themes, compared to previous work conducted by the author for the same task. This is possible due to the capabilities of a recently released LLM which allows the processing of 16 thousand tokens (GPT3.5-Turbo-16k) and also due to the possibility to offer a refined prompting for the creation of Personas. The paper offers details of performing Phase 2 and 3 of Thematic Analysis, and then discusses the improved workflow for creating Personas. The paper also offers some reflections on the relationship between the proposed process and existing approaches to Personas such as the data-driven and qualitative Personas. Moreover, the paper offers reflections on the capacity of LLMs to capture user behaviours and personality traits, from the underlying dataset of qualitative interviews used for the analysis.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Revealing Political Bias in LLMs through Structured Multi-Agent Debate

    cs.AI 2025-06 conditional novelty 6.0 of 10

    LLM debate agents with neutral personas lean Democratic, Republican personas drift toward neutral, gender awareness alters stances, and homogeneous groups can show echo chamber attitude intensification.

  2. PersonaBOT: Bringing Customer Personas to Life with LLMs and RAG

    cs.CL 2025-05 conditional novelty 4.0 of 10

    A RAG chatbot augmented with synthetic personas generated from customer success stories raised its average accuracy rating from 5.88 to 6.42 at Volvo CE, with few-shot prompting producing more complete personas than c...

  3. Leveraging LLMs for Persona-Based Visualization of Election Data

    cs.HC 2025-07 reject novelty 3.0 of 10

    LLM-generated voter personas are used to derive design criteria and prototypes for UK election visualizations, which are then evaluated by another LLM.

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