MORE ABOUT HEART FRAMEWORK
The HEART Framework is a product analytics and growth tool that provides an overview of the framework and explains how to use it to evaluate user feedback.
The main components of the HEART framework are Happiness, Engagement, Adoption, Retention, and Task Success. To evaluate user feedback, product managers should track key metrics in each of these areas, such as user satisfaction and engagement, adoption rates, retention rates, and task success. These metrics should be tracked over time to understand how they change as users adopt and engage with the product.
Additionally, user feedback and case studies can be used to provide context and insights into the specific ways in which the product is being used to support decision-making.
PROVIDE PRODUCT INFORMATION
1. Product Description | 2. Product Goals & Objectives | 3. Product Constraints |
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- If the page is slow to load, you can close the draft after inputting information in the input row, and the AI will continue to work its magic ✨
- We highly recommend creating new research from the dashboard each time you want AI to conduct research and change the new research (task) name after creating it.
- Otherwise, Notion will use the latest input data as the default. To fix that issue, simply delete the row (not just data) in the input frame and add the new product info in the row again.
- To generate accurate descriptions for inputs you can use the next Notion AI prompt: My product is designed for ____ to help them ____. Provide a detailed description of my product, using "Product description:", "Goals & Outcome", and "Product Constraints”.
- To create an AI report, kindly fill in the details of your product/feature/idea in the rows above. Feel free to modify and enhance your input data to improve the quality of the AI research results.
- After completing the above step, you can either wait for 10-30 seconds for the AI report to be generated automatically or manually generate it by clicking the Update button in each section of report.
- Note that Notion AI may sometimes empty the AI fields data, but they are currently working on resolving this issue.
- Sometimes, the AI may stop resolving user requests in a random section during AI research. To resolve this issue, simply recreate your research (with the same information) within a new task.
- In any case, feel free to press Update and generate new AI research with unlimited Notion AI usage.
- Please keep in mind that the system's effectiveness is improved through repeated usage.
- Don't hesitate to click the "Update AI" button for optimal results.
AI RESEARCH REPORT
HEART Framework | 1. Product Description |
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