**Customer Survey Template for AI-Driven Fitness App** **Objectives:** 1. **Enhancing User Engagement:** - On a scale of [Likert Scale], how frequently do you use our AI-driven fitness app? - What features contribute most to your regular engagement with the app? 2. **Optimizing Feature Satisfaction:** - Rate your satisfaction with [Workout Customization] features on a scale from [Likert Scale]. - Which additional features would you like to see implemented to enhance your experience? 3. **Gauging App Effectiveness:** - How effective do you find the AI-generated workout recommendations in achieving your fitness goals? (Open-ended) - Rate the overall effectiveness of the app in meeting your health and wellness needs on a scale from [Likert Scale]. **Target Audience:** - [User Segment Placeholder] (e.g., fitness enthusiasts aged 18-35) - [Geographic Location Placeholder] (e.g., global users) **Survey Questions:** 1. **Workout Customization:** - How satisfied are you with the level of customization in your workout plans? (Likert Scale) - What specific customization features would you like to see improved or added? 2. **User Interface:** - Rate the user-friendliness of the app's interface on a scale from [Likert Scale]. - Provide feedback on any aspects of the user interface that may be confusing or challenging. 3. **Customer Support Effectiveness:** - How satisfied are you with the responsiveness and helpfulness of our customer support? (Likert Scale) - Share any positive or negative experiences with our customer support. **Survey Distribution Methods:** - [In-app Pop-ups] - [Social Media] - [Email] **Survey Duration:** - [Survey Duration Placeholder] (e.g., 4 weeks) **Response Rate Goal:** - Aim for a minimum [Response Rate Placeholder] (e.g., 20%) to ensure representative feedback. **Data Analysis:** - Utilize [Analytics Dashboard Placeholder] for comprehensive data visualization. - Interpret results to identify trends in user engagement, satisfaction, and areas for improvement. - Prioritize actionable insights for refining app features, enhancing user satisfaction, and optimizing the overall user experience.