{"id":282,"date":"2024-07-04T13:13:20","date_gmt":"2024-07-04T13:13:20","guid":{"rendered":"https:\/\/metric.qcri.org\/blog\/?p=282"},"modified":"2024-07-04T13:13:20","modified_gmt":"2024-07-04T13:13:20","slug":"actionable-data-creating-personas-from-metric-data-analytics","status":"publish","type":"post","link":"https:\/\/metric.qcri.org\/blog\/2024\/07\/04\/actionable-data-creating-personas-from-metric-data-analytics\/","title":{"rendered":"Actionable Data: Creating Personas from METRIC Data Analytics"},"content":{"rendered":"\n

Personas represent important segments\u00a0of a target audience or user base, making them indispensable tools in marketing, user experience (UX) design, product development, and education. Personas in marketing help create content and campaigns specifically tailored to various client bases’ demands, preferences, and behaviors. They aid in making assessments about the user and help designers choose test subjects for usability studies so that a wide range of user types are covered in UX design. Instructors use personas to create lesson plans and teaching resources that meet the requirements of a wide range of students, increasing student engagement and effectiveness.<\/p>\n\n\n

\n
\"Personas
Unassigned Persona Generation<\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n

The advent of AI has brought many different kinds of AI generators, including AI persona generators. Some are not entirely accurate as the information fed in is not enough to generate actionable personas, but more generic versions. Thankfully, more reliable persona-generating tools, such as Survey2Persona, use comprehensive survey data to create actionable personas that can also be condensed into an AI chatbot representative of a specific audience. Using METRIC for user studies, researchers, educators, and students can use the survey data collected to create such through Survey2Persona<\/a>.<\/p>\n\n\n\n

Consider this step-by-step guide:<\/p>\n\n\n\n

    \n
  1. Data Collection<\/strong>: Utilize METRIC’s capabilities to collect real-time data from survey responses. Ensure these surveys cover essential aspects such as demographics, preferences, behaviors, and goals.<\/li>\n\n\n\n
  2. Data Export<\/strong>: Export the collected survey data from METRIC<\/a> in a compatible format such as CSV or Excel. Ensure the data is clean and well-organized to facilitate seamless integration with Survey2Persona.<\/li>\n\n\n\n
  3. Data Upload<\/strong>: Upload the exported survey data into Survey2Persona. Follow the tool’s prompts to map survey questions to the corresponding persona attributes.<\/li>\n\n\n\n
  4. Persona Generation<\/strong>: Generate personas based on the uploaded survey data with a few clicks. Survey2Persona will utilize AI and machine learning algorithms to analyze the data and create detailed, visualized personas.<\/li>\n\n\n\n
  5. Review and customize<\/strong> the generated personas to accurately reflect your target audience.<\/li>\n<\/ol>\n\n\n\n

    Following these simple steps can greatly impact and enhance persona generation for user studies. Researchers can create a feedback loop by taking the generated personas and using METRIC eye tracking and further surveying to determine how users respond to these personas. For instance, to determine whether they are relatable, accurate, or unrealistic. Integrating Survey2Persona with METRIC provides a powerful solution for transforming raw survey data into actionable personas that can help various organizations better address the needs of their target audiences.<\/p>\n\n\n\n

    Try out METRIC<\/a> now!<\/p>\n\n\n\n

    Read more research about user studies<\/strong> and analytics!<\/strong><\/p>\n\n\n\n

    Azem, J. Y., Salminen, J., Jung, S.G., and Jansen, B. J. (<\/strong>2023) Measuring Engagement Through Remote Interactions of Customers: Introducing METRIC<\/a>, 2023 International Symposium on Networks, Computers and Communications (ISNCC), Doha, Qatar, 2023, pp. 1-7, doi: 10.1109\/ISNCC58260.2023.10323669.<\/p>\n\n\n\n

    Jung, S.G., Salminen, J., and Jansen, B. J. (2021) Persona Analytics: Implementing Mouse-tracking for an Interactive Persona System<\/a>. ACM CHI Conference on Human Factors in Computing Systems (CHI2021), Yokohama, Japan. 8-13 May. Article No.: 342.<\/p>\n\n\n\n

    Nielsen, L., Salminen, J., Jung, S.G., and Jansen, B. J. (2021) Think-Aloud Surveys \u2013 A Method for Eliciting Enhanced Insights During User Studies<\/a>, INTERACT 2021 18th IFIP TC13 International Conference on Human\u2013Computer Interaction. 30 Aug. \u2013 3 Sept. Bari, Italy.<\/p>\n\n\n\n

    Salminen, J., Sercan, S., Jung, S.G., and Jansen, B. J. (2021) Comparing Persona Analytics and Social Media Analytics for a User-Centric Task Using Eye-Tracking and Think-Aloud<\/a>. CHItaly2021, 11-13 July 2021, Remote via Internet & \u200bBozen-Bolzano, Italy.<\/p>\n\n\n\n

    <\/p>\n","protected":false},"excerpt":{"rendered":"

    Personas represent important segments\u00a0of a target audience or user base, making them indispensable tools in marketing, user experience (UX) design, product development, and education. Personas in marketing help create content and campaigns specifically tailored to various client bases’ demands, preferences, and behaviors. They aid in making assessments about the user and help designers choose test … Read more<\/a><\/p>\n","protected":false},"author":10,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7,5],"tags":[44,43,39,47,38,52,32,25,4,9],"class_list":["post-282","post","type-post","status-publish","format-standard","hentry","category-analytics","category-user-study","tag-academia","tag-education","tag-marketing","tag-metric","tag-segmentation","tag-survey2persona","tag-user-engagement","tag-user-experience","tag-user-study","tag-users"],"jetpack_featured_media_url":"","jetpack-related-posts":[{"id":231,"url":"https:\/\/metric.qcri.org\/blog\/2024\/06\/25\/benefits-of-metric-in-teaching-user-study-analytics\/","url_meta":{"origin":282,"position":0},"title":"Benefits of METRIC in Teaching User Study Analytics","date":"June 25, 2024","format":false,"excerpt":"Analytics Illustration [Source: ACUA] Various industries benefit from user analytic studies, both with and without knowledge. E-Commerce, logistics and transportation, hospitality, web development, real estate, healthcare, public services, and even education. Many industries need user feedback to improve their services, so implementing user analytic studies in academia benefits students. Here\u2026","rel":"","context":"In "analytics"","img":{"alt_text":"Benefits of METRIC in Teaching User Study Analytics","src":"https:\/\/i0.wp.com\/metric.qcri.org\/blog\/wp-content\/uploads\/2024\/06\/Screen-Shot-2024-06-13-at-5.59.38-PM.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":278,"url":"https:\/\/metric.qcri.org\/blog\/2024\/07\/04\/how-qatar-can-optimize-business-analytics-and-education-post-2022-world-cup-with-metric\/","url_meta":{"origin":282,"position":1},"title":"How Qatar Can Optimize Business Analytics and Education Post-2022 World Cup With METRIC","date":"July 4, 2024","format":false,"excerpt":"Post-2022 World Cup, Qatar is focusing on sustaining growth and diversifying its economy beyond oil and gas. Fostering innovation, attracting foreign investment, and ensuring a skilled workforce, are among the goals of building a knowledge-based economy in line with the National Vision 2030. Among other industries and institutions, education and\u2026","rel":"","context":"In "analytics"","img":{"alt_text":"Qatar National Vision 2030 over Doha Skyline","src":"https:\/\/i0.wp.com\/metric.qcri.org\/blog\/wp-content\/uploads\/2024\/07\/Vision.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":107,"url":"https:\/\/metric.qcri.org\/blog\/2023\/06\/11\/the-impact-of-ai-on-ux-design\/","url_meta":{"origin":282,"position":2},"title":"The Impact of AI on UX Design","date":"June 11, 2023","format":false,"excerpt":"Artificial intelligence (AI) can potentially transform several industries, such as the UX industry Different AI applications have the potential to handle routine, creative, analytical, and strategic processes, such as writing a script or summarising an article. Specific AI applications, such as ChatGPT, have gained widespread popularity for their intelligence and\u2026","rel":"","context":"In \"users\"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/metric.qcri.org\/blog\/wp-content\/uploads\/2023\/06\/free-photo-of-marketing-telefono-inteligente-internet-escritura.jpeg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":206,"url":"https:\/\/metric.qcri.org\/blog\/2024\/06\/12\/integrated-marketing-courses-with-metric\/","url_meta":{"origin":282,"position":3},"title":"Integrated Marketing Courses with METRIC","date":"June 12, 2024","format":false,"excerpt":"Did you know the global advertising industry is worth over 500 billion US dollars as of 2023? However, not all ads are successful. Not all advertisers implement proper marketing strategies or hire marketing specialists to handle this for them. It is a shame because this would save them more money\u2026","rel":"","context":"In "user study"","img":{"alt_text":"Marketing: Media User Insights, Prefered methods of Media consumption","src":"https:\/\/i0.wp.com\/metric.qcri.org\/blog\/wp-content\/uploads\/2024\/06\/Marketing.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":173,"url":"https:\/\/metric.qcri.org\/blog\/2024\/05\/22\/using-metric-to-evaluate-user-interactions-with-images\/","url_meta":{"origin":282,"position":4},"title":"Using METRIC to Evaluate User Interactions with Images","date":"May 22, 2024","format":false,"excerpt":"Figure 1: Using METRIC to Evaluate User Interactions with Images Evaluating user interaction with images is important for online marketing, advertising, news and content creation, and webpage design. METRIC (Measuring Engagement Through Remote Interactions of Customers) provides an advanced capability to do just this! As shown in Figure 1, you\u2026","rel":"","context":"In "analytics"","img":{"alt_text":"Figure 1: Using METRIC to Evaluate User Interactions with Images","src":"https:\/\/i0.wp.com\/metric.qcri.org\/blog\/wp-content\/uploads\/2024\/05\/METRIC_Marketing_Image_May_2024-1.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":287,"url":"https:\/\/metric.qcri.org\/blog\/2024\/07\/05\/eye-tracking-beyond-conventional-uses\/","url_meta":{"origin":282,"position":5},"title":"Eye Tracking Beyond Conventional Uses","date":"July 5, 2024","format":false,"excerpt":"Eye tracking is a versatile technology with applications across various fields for its ability to provide detailed insights into visual attention and behavior. With more and more organizations gaining interest in this technology\u2019s abilities, there has been a rise in numerous offline and online eye-tracking tools such as METRIC. User\u2026","rel":"","context":"In "analytics"","img":{"alt_text":"eye-tracking technology for early screening and diagnosis of ASD","src":"https:\/\/i0.wp.com\/metric.qcri.org\/blog\/wp-content\/uploads\/2024\/07\/openart-image_notBvuei_1720099256913_raw.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/282","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/comments?post=282"}],"version-history":[{"count":4,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/282\/revisions"}],"predecessor-version":[{"id":293,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/posts\/282\/revisions\/293"}],"wp:attachment":[{"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/media?parent=282"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/categories?post=282"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/metric.qcri.org\/blog\/wp-json\/wp\/v2\/tags?post=282"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}