{"id":384,"date":"2026-02-27T22:41:23","date_gmt":"2026-02-27T22:41:23","guid":{"rendered":"https:\/\/sova.ourcloud.ou.edu\/loganstanley\/?p=384"},"modified":"2026-03-12T16:53:06","modified_gmt":"2026-03-12T16:53:06","slug":"aix-design-define","status":"publish","type":"post","link":"https:\/\/sova.ourcloud.ou.edu\/loganstanley\/2026\/02\/27\/aix-design-define\/","title":{"rendered":"AIX Design: Define"},"content":{"rendered":"\n
\n

Persona<\/h3>\n\n\n\n

During the defined stage, our main goal was to really define user needs and identify opportunities to resolve them. We started by creating a persona. Most of our interview data was similar, so we created one persona to represent our users goals, needs, and frustrations. When we asked our professor to review our persona, we quickly learned that our goal goals were lacking, so we reevaluated. We each individually used ChatGPT to analyze our interview data for a persona. We told it to act as a UX researcher and generate a list of goals, needs and frustrations. ChatGPT provided six goals, seven needs, and eight frustrations. Its response seemed to try and categorize everything instead of trying to find the most prominent information and general trends amongst our interviews. As a group we discussed every section, and if every idea within the lists it provided was necessary. After completing one persona, Caleb Burchancaster, we worked on a journey map.<\/p>\n\n\n\n

\n
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Prompt<\/p>\n\n\n\n

(Built upon previous interactions; it already had interview transcripts.) I’m working on making a persona that uses my interview data. Act as a UX researcher. Generate a list of goals, needs and frustrations.<\/p>\n<\/div>\n\n\n\n

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Results (Goals)<\/p>\n\n\n\n

    \n
  1. Maintain Consistency<\/li>\n\n\n\n
  2. See Visible Progress<\/li>\n\n\n\n
  3. Improve Appearance or Weight<\/li>\n\n\n\n
  4. Feel Better Physically and Mentally<\/li>\n\n\n\n
  5. Stay Motivated Without Forcing it<\/li>\n\n\n\n
  6. Integrate Exercise Into Daily Life<\/li>\n<\/ol>\n\n\n\n
    \n
    <\/div>\n\n\n\n
    <\/div>\n\n\n\n
    <\/div>\n<\/div>\n<\/div>\n\n\n\n
    \n

    (Needs)<\/p>\n\n\n\n

      \n
    1. Flexible Structure<\/li>\n\n\n\n
    2. Personalized Accountability<\/li>\n\n\n\n
    3. Smart Progress Tracking<\/li>\n\n\n\n
    4. Adaptive Reminders<\/li>\n\n\n\n
    5. Low-Friction Onboarding<\/li>\n\n\n\n
    6. Motivation Reinforcement<\/li>\n\n\n\n
    7. Autonomy<\/li>\n<\/ol>\n<\/div>\n\n\n\n
      \n

      (Frustrations)<\/p>\n\n\n\n

        \n
      1. Losing Motivation Quickly<\/li>\n\n\n\n
      2. Reminder Fatigue<\/li>\n\n\n\n
      3. Inconsistent Progress Perception<\/li>\n\n\n\n
      4. Overexertion \u2192 Drop-Off Cycle<\/li>\n\n\n\n
      5. Time Pressure<\/li>\n\n\n\n
      6. Mental Fatigue<\/li>\n\n\n\n
      7. Lack of Environmental Stimulation<\/li>\n\n\n\n
      8. Too Much Structure or Too Little<\/li>\n<\/ol>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
        \n

        Empathy Map<\/h3>\n\n\n\n

        For our journey map, we again heavily utilized our interview data. We wanted to reflect the process most of our interview participants went through. However, similar to our persona, we asked for help from the professor. We were having trouble matching actions and goals; our journey map didn’t hold up under scrutiny. We once again reevaluated our work and utilized ChatGPT. I used a similar prompt from the persona, but instead asked it to generate goals and actions for a journey map. As a group, we really didn’t use any of the information, it was more to get us thinking so that we could reevaluate how the persona should connect to the journey map. We restructured our goals and even tweaked the persona slightly to match. Overall, I think we managed to create a cohesive persona and journey map.<\/p>\n<\/div>\n\n\n\n

        \n

        AI Need<\/h3>\n\n\n\n

        In the define stage, we also mapped AI needs. We reviewed our research and interviewed data to really identify the needs of our users to reinforce that our problem was worth solving. Then, we reviewed ways that AI could benefit or perhaps not benefit our solution. We actually discussed this section as a class. Working collaboratively, we determine that there were even more ways that AI could help with our solution than we originally conceived. Since we identified the usefulness of AI, we mapped its data requirements. We had trouble trying to identify the features and labels within key data sets. However, as we worked through it as a class, it became more clear. We kept referring back to our user needs to make everything more cohesive.<\/p>\n<\/div>\n\n\n\n

        \n

        Reflection<\/h3>\n\n\n\n

        Overall, I learned that I had a lot to learn or rather refine for personas and journey maps. ChatGPT actually helped a lot to narrow my focus and get me thinking more intricately about the information we had gathered as a group. I\u2019ve had to prompt it to give more focused information: sometimes there is too much. Even though I don’t instantly think to utilize AI, it has proven itself useful time and time again.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

        Persona During the defined stage, our main goal was to really define user needs and identify opportunities to resolve them. We started by creating a persona. Most of our interview data was similar, so we created one persona to represent our users goals, needs, and frustrations. When we asked our professor to review our persona, […]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-384","post","type-post","status-publish","format-standard","hentry","category-blog"],"_links":{"self":[{"href":"https:\/\/sova.ourcloud.ou.edu\/loganstanley\/wp-json\/wp\/v2\/posts\/384","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sova.ourcloud.ou.edu\/loganstanley\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sova.ourcloud.ou.edu\/loganstanley\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sova.ourcloud.ou.edu\/loganstanley\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/sova.ourcloud.ou.edu\/loganstanley\/wp-json\/wp\/v2\/comments?post=384"}],"version-history":[{"count":40,"href":"https:\/\/sova.ourcloud.ou.edu\/loganstanley\/wp-json\/wp\/v2\/posts\/384\/revisions"}],"predecessor-version":[{"id":645,"href":"https:\/\/sova.ourcloud.ou.edu\/loganstanley\/wp-json\/wp\/v2\/posts\/384\/revisions\/645"}],"wp:attachment":[{"href":"https:\/\/sova.ourcloud.ou.edu\/loganstanley\/wp-json\/wp\/v2\/media?parent=384"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sova.ourcloud.ou.edu\/loganstanley\/wp-json\/wp\/v2\/categories?post=384"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sova.ourcloud.ou.edu\/loganstanley\/wp-json\/wp\/v2\/tags?post=384"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}