Ferramentas de dados para análise e mensuração de User Experience (UX): funcionalidades, barreiras e oportunidades
Resumo
Mensurar a User Experience (UX) de produtos e serviços é essencial para entender interações que impactam nos resultados de negócio. Existem inúmeras ferramentas disponíveis, dificultando a escolha da mais adequada. Foi realizada uma pesquisa documental usando oito ferramentas a partir de três perspectivas: funcionalidades, barreiras e oportunidades. As ferramentas foram identificadas como úteis para otimização de processos, feedback direto do usuário e métricas como taxa de adesão e retenção. Limitações como alto custo e complexidade técnica também foram observadas.Referências
Adebesin, F. and Chawana, T. (2021). The current state of measuring return on investment in user experience design. South African Computer Journal, 33(1):22–36.
Albert, B. and Tullis, T. (2013). Measuring the user experience: collecting, analyzing, and presenting usability metrics. Newnes.
Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9:27–40.
Fedele, G., Fedriga, M., Zanuso, S., Mastrangelo, S., and Nocera, F. D. (2017). Can user experience affect buying intention? a case study on the evaluation of exercise equipment. In Human Factors and Ergonomics Society Europe, pages 145–152.
Kierkegaard, E. (2021). Optimizing the sign-up flow for a fintech company using google analytics, hotjar and a/b testing.
Morgan, H. (2022). Conducting a qualitative document analysis. The Qualitative Report.
Palomino, F., Paz, F., and Moquillaiza, A. (2021). Web analytics for user experience: a systematic literature review. In International Conference on Human-Computer Interaction, pages 312–326, Cham. Springer.
Trendowicz, A. et al. (2023). User experience key performance indicators for industrial iot systems: a multivocal literature review. Digital Business, 3(1):100057.
Wijaya, A. et al. (2021). The effect of ui/ux design on user satisfaction in online art gallery. In 2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI), pages 120–125. IEEE.
Albert, B. and Tullis, T. (2013). Measuring the user experience: collecting, analyzing, and presenting usability metrics. Newnes.
Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9:27–40.
Fedele, G., Fedriga, M., Zanuso, S., Mastrangelo, S., and Nocera, F. D. (2017). Can user experience affect buying intention? a case study on the evaluation of exercise equipment. In Human Factors and Ergonomics Society Europe, pages 145–152.
Kierkegaard, E. (2021). Optimizing the sign-up flow for a fintech company using google analytics, hotjar and a/b testing.
Morgan, H. (2022). Conducting a qualitative document analysis. The Qualitative Report.
Palomino, F., Paz, F., and Moquillaiza, A. (2021). Web analytics for user experience: a systematic literature review. In International Conference on Human-Computer Interaction, pages 312–326, Cham. Springer.
Trendowicz, A. et al. (2023). User experience key performance indicators for industrial iot systems: a multivocal literature review. Digital Business, 3(1):100057.
Wijaya, A. et al. (2021). The effect of ui/ux design on user satisfaction in online art gallery. In 2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI), pages 120–125. IEEE.
Publicado
07/10/2024
Como Citar
MELLO, João Pedro de; EVANGELISTA, Gessé.
Ferramentas de dados para análise e mensuração de User Experience (UX): funcionalidades, barreiras e oportunidades. In: PÔSTERES E DEMONSTRAÇÕES - SIMPÓSIO BRASILEIRO DE FATORES HUMANOS EM SISTEMAS COMPUTACIONAIS (IHC), 23. , 2024, Brasília/DF.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 110-114.
DOI: https://doi.org/10.5753/ihc_estendido.2024.243965.