The method
Use this prompt after collecting user behavior data from website analytics. Paste the data (e.g., pages visited, time spent, bounce rate, conversion rates) into the prompt. Adjust the prompt's focus to specific user segments or goals.
The prompts
Prompt 1
Analyze the following website user behavior data and identify key trends, potential areas for improvement, and actionable recommendations:
[Paste User Behavior Data Here - e.g., Page Views: X, Bounce Rate: Y, Conversion Rate: Z, Top Pages: A, B, C, User Demographics: D, E, F, Time on Page: P, Q, R]
Specifically, focus on:
* Identifying pages with high bounce rates and suggesting content or design improvements.
* Understanding user navigation patterns and recommending ways to improve the user journey.
* Analyzing conversion rates and suggesting strategies to increase conversions.
* Interpreting trends in user demographics and tailoring the website experience accordingly.
Provide a concise report with actionable recommendations, prioritized based on potential impact.
[Paste User Behavior Data Here - e.g., Page Views: X, Bounce Rate: Y, Conversion Rate: Z, Top Pages: A, B, C, User Demographics: D, E, F, Time on Page: P, Q, R]
Specifically, focus on:
* Identifying pages with high bounce rates and suggesting content or design improvements.
* Understanding user navigation patterns and recommending ways to improve the user journey.
* Analyzing conversion rates and suggesting strategies to increase conversions.
* Interpreting trends in user demographics and tailoring the website experience accordingly.
Provide a concise report with actionable recommendations, prioritized based on potential impact.
Prompt 2
I want to understand why users are abandoning the checkout process on my e-commerce website. Here is the user behavior data related to the checkout funnel:
[Paste Checkout Funnel Data Here - e.g., Number of Users Starting Checkout: X, Number of Users Reaching Payment Page: Y, Number of Completed Purchases: Z, Average Time Spent on Each Step, Common Exit Points, Device Types Used]
Analyze this data and identify the most significant drop-off points. Provide hypotheses for why users are abandoning the checkout process at these points. Suggest specific A/B tests I can run to validate these hypotheses and improve the checkout conversion rate. Focus on usability issues, unexpected costs, security concerns, and alternative payment options.
[Paste Checkout Funnel Data Here - e.g., Number of Users Starting Checkout: X, Number of Users Reaching Payment Page: Y, Number of Completed Purchases: Z, Average Time Spent on Each Step, Common Exit Points, Device Types Used]
Analyze this data and identify the most significant drop-off points. Provide hypotheses for why users are abandoning the checkout process at these points. Suggest specific A/B tests I can run to validate these hypotheses and improve the checkout conversion rate. Focus on usability issues, unexpected costs, security concerns, and alternative payment options.
Prompt 3
I need help understanding how users interact with our new feature release. Here is data collected since the release:
[Paste Data Here: e.g. Adoption Rate, Usage Frequency, Task Completion Rate, Error Rate, User Feedback (support tickets, in-app surveys)]
Analyze this data. Are users adopting the new feature as expected? Are they completing tasks successfully using the new feature? What are the biggest pain points users are experiencing? Provide data-driven recommendations on how to improve the feature's design and functionality based on the data, with a focus on user needs and business goals. Consider user segmentation based on power users and novices.
[Paste Data Here: e.g. Adoption Rate, Usage Frequency, Task Completion Rate, Error Rate, User Feedback (support tickets, in-app surveys)]
Analyze this data. Are users adopting the new feature as expected? Are they completing tasks successfully using the new feature? What are the biggest pain points users are experiencing? Provide data-driven recommendations on how to improve the feature's design and functionality based on the data, with a focus on user needs and business goals. Consider user segmentation based on power users and novices.