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Leveraging unmoderated test responses

Last updated on Feb 02, 2024

Key points;

  • A comprehensive Guide

  • Leveraging Unmoderated Test Responses Effectively

A Comprehensive Guide

Understanding the different response types you can collect and knowing how to leverage them effectively is key to extracting actionable insights from your unmoderated tests.

In this comprehensive guide, we'll explore the various response types available in unmoderated tests, delve into scenarios where each type shines, and provide best practices for maximizing the utility of these responses.

1. Long Text Responses

Definition: Long text responses are open-ended, allowing participants to provide detailed feedback in the form of paragraphs or essays.

Best Practices and Scenarios:

  • Usability Testing: Long-text responses are excellent for usability testing. Participants can describe their experience in detail, pinpointing pain points and suggesting improvements.

  • Feature Requests: Use long text responses to gather comprehensive feature requests from users. Ask them what additional features or functionalities they'd like to see.

2. Short Text Responses

Definition: Short text responses are concise, open-ended answers, typically limited to a few words or a sentence.

Best Practices and Scenarios:

  • Bug Tracking: Participants can quickly describe any bugs or issues they encounter during testing.

  • Feedback Summaries: For participants to summarize their overall impression or key takeaways.

3. Multiple Choice Responses

Definition: Multiple choice responses present participants with a list of predefined options, and they select one or more choices.

Best Practices and Scenarios:

  • Task Completion: Utilize multiple choice questions to assess task completion rates, allowing participants to indicate whether they accomplished specific goals.

  • Preference Testing: When comparing design or content variations, multiple-choice responses can help participants express their preferences.

4. Linear Scale (Number and Star Rating)

Definition: Linear scale responses ask participants to rate something on a numeric or star-based scale.

Best Practices and Scenarios:

  • User Satisfaction: Use star or numeric ratings to measure user satisfaction, such as Net Promoter Score (NPS) or Customer Satisfaction (CSAT).

  • Content Evaluation: Assess the effectiveness of content by asking participants to rate its clarity, relevance, or appeal.

5. Yes or No Responses

Definition: Yes or no responses require participants to provide binary answers.

Best Practices and Scenarios:

  • Task Success: Use yes or no questions to determine whether participants could complete specific tasks.

  • Feature Prioritization: Ask participants if they would like a particular feature or improvement, simplifying prioritization.

6. Verbal Responses

Definition: Verbal responses allow participants to provide feedback by recording their spoken thoughts.

Best Practices and Scenarios:

  • Think-Aloud Testing: Ideal for think-aloud usability testing, verbal responses capture participants' real-time thoughts as they interact with your product.

  • User Experience Exploration: Encourage participants to verbalize their emotions, frustrations, or delights to gain deeper insights into the user experience.

7. Checkbox Responses

Definition: Checkbox responses let participants select multiple options from a list.

Best Practices and Scenarios:

  • Content Assessment: Ask participants to review content and check the aspects that resonate with them or could be improved.

  • Feature Prioritization: Similar to multiple choice, checkbox responses can help prioritize features or elements users find most valuable.

Leveraging Unmoderated Test Responses Effectively

To make the most of the responses collected in unmoderated tests, consider these best practices:

  • Combine Quantitative and Qualitative Data: Unmoderated test responses provide quantitative insights, but don't forget to supplement them with qualitative data from user interviews or surveys.

  • Segment Your Audience: Analyze responses based on participant demographics, such as age, location, or device type, to identify patterns and tailor improvements.

  • Benchmark Against Baselines: If you have historical data, compare current responses to baseline metrics to gauge progress or regression.

  • Prioritize Actions: Address critical issues or frequently mentioned feedback first to demonstrate responsiveness to user concerns.

  • Iterate and Test Again: Apply changes based on feedback, rerun tests, and iterate. User research is an ongoing process.