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All Journal ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Journal of Information Systems and Management Startupreneur Business Digital (SABDA Journal) Journal of International Conference Proceedings Jurnal Bisnis Manajemen dan Akuntansi Dharma Sevanam : Jurnal Pengabdian Masyarakat Journal of Computer Science and Technology Application
Sitorus, Santa Lusianna
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Neuroscience Other

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AI Framework for Synthesizing Qualitative User Feedback A Literature Review Sitorus, Santa Lusianna; Dewi, Ratih Komala; Vika Febrian; Muhammad Faris Ariq; Ikhsan, Ramiro Santiago
CORISINTA Vol 3 No 1 (2026): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/r1yewe47

Abstract

The increasing reliance on user-centered design in digital product development has intensified the need for systematic approaches to transforming qualitative user feedback into actionable insights for UX and UI decision-making. Although qualitative feedback provides rich understanding of user motivations, frustrations, and contextual behaviors, product teams often face challenges such as data ambiguity, interpretive bias, information overload, and weak alignment between research outcomes and product strategy. This literature review aims to synthesize existing academic research and industry practices to propose a structured framework that bridges qualitative analysis and technology-driven product decisions. Using a qualitative research design based on framework analysis, this study reviews established methods including user interviews, usability testing, open-ended surveys, thematic analysis, and affinity-based synthesis. These approaches are integrated into a four-step framework consisting of feedback coding, theme identification, alignment with product objectives, and formulation of actionable insights. The findings of this review suggest that applying a structured synthesis process enhances analytical clarity, improves traceability between user feedback and design actions, and supports more consistent prioritization in UX/UI practices. Illustrative applications drawn from prior studies demonstrate how the framework can translate qualitative insights into concrete design recommendations without relying on empirical experimentation. This study concludes that qualitative user feedback delivers meaningful value only when processed through a systematic synthesis mechanism that connects user narratives with strategic and operational product decisions, providing a conceptual foundation for data-driven and AI-supported UX/UI design environments.
Co-Authors Alfi, Muhammad Anita, Tiurida Lily Anjani, Sheila Aulia Basuki, Sucipto Farisha Andi Baso, Farisha Andi Fikri, Muhamad Agung Ali Firmawati, Yeni Goestjahjanti, Francisca Sestri Goh, Thomas Sumarsan Haniyah, Haniyah Hasna, Shofwatun Hidayat, Aviv Ikhsan, Ramiro Santiago Istajib Kulla Himmy’azz Luthfian, Muhammad Martinez, Samantha Meilinda, Vivi Muhammad Faris Ariq Napitupulu, Bonar Bangun Jeppri Nisa, Roihatun Ramadani, Tia Ratih Komala Dewi Riyantao, Joko Rodriguez, Marta Sukriyah, Sukriyah Vika Febrian WINANTI, WINANTI Yasykur, Muhammad Naufal