User Experience Research
Assessing User Engagement Through Interaction Studies
This prompt helps teams design UX research to assess user engagement during interactions with a product or feature. It focuses on identifying elements that drive attention, satisfaction, and repeat usage to inform design and product strategy.
Responsible:
Product Design
Accountable, Informed or Consulted:
Design, Product, Marketing
THE PREP
Creating effective prompts involves tailoring them with detailed, relevant information and uploading documents that provide the best context. Prompts act as a framework to guide the response, but specificity and customization ensure the most accurate and helpful results. Use these prep tips to get the most out of this prompt:
Define the product’s engagement goals and key features to evaluate.
Recruit participants who align with the target audience.
Prepare analytics tools or prototypes to track user interactions during sessions.
THE PROMPT
Help design a UX research study to assess user engagement during interactions with [specific product, feature, or workflow]. Focus on:
Engagement Metrics: Measuring key indicators such as session duration, interaction frequency, and feature usage.
Attention Drivers: Identifying which design elements or workflows capture and sustain user interest.
Drop-Off Points: Observing where users disengage or abandon tasks and understanding why.
User Feedback: Collecting insights on what users find most enjoyable, useful, or frustrating about the experience.
Design Iterations: Recommending changes to improve engagement, such as simplifying navigation, enhancing visuals, or adding interactivity.
Provide recommendations for structuring the study, including tools (e.g., Mixpanel, Hotjar, UserTesting) and methods for analyzing user engagement data. If additional details about the product’s goals or target audience are needed, ask clarifying questions to refine the suggestions.
Bonus Add-On Prompts
Propose methods for identifying the most engaging features of a product during user sessions.
Suggest ways to measure the impact of microinteractions or animations on user engagement.
Highlight techniques for evaluating long-term engagement through repeat usage studies.
Use AI responsibly by verifying its outputs, as it may occasionally generate inaccurate or incomplete information. Treat AI as a tool to support your decision-making, ensuring human oversight and professional judgment for critical or sensitive use cases.
SUGGESTIONS TO IMPROVE
Focus on specific engagement drivers, such as gamification or social features.
Include methods for testing engagement across different devices or platforms.
Propose techniques for A/B testing design changes to improve engagement.
Highlight strategies for capturing feedback on emotional engagement.
Add options for testing engagement with different user personas or experience levels.
WHEN TO USE
During feature design to evaluate which elements drive attention and retention.
To identify drop-off points and refine workflows for better engagement.
When measuring the success of interactive or visually driven features.
WHEN NOT TO USE
If the product is in early development without interactive elements.
When focusing solely on backend functionality with no direct user engagement.