Feature/Product Validation
Conducting a Concept Validation Study Using Wireframes
This prompt helps teams validate a feature or product concept by testing wireframes with users. It focuses on collecting qualitative and quantitative feedback to assess whether the concept aligns with user expectations and solves their pain points.
Responsible:
Product Design
Accountable, Informed or Consulted:
Design, Product, Engineering
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:
Create wireframes that represent the core workflows or functionality of the feature.
Identify and recruit participants from the target audience.
Define success criteria and prepare a script or list of tasks for the study.
THE PROMPT
Help conduct a concept validation study using wireframes for [specific feature or product idea]. Focus on:
Wireframe Fidelity: Deciding whether to use low-fidelity or high-fidelity wireframes based on the goals of the validation study.
Target Audience: Selecting participants who represent the primary user base for the feature.
Key Metrics: Defining objectives, such as comprehension, usability, and user interest.
Task Scenarios: Designing realistic scenarios for participants to complete using the wireframes to mimic real-world usage.
Feedback Collection: Using methods like think-aloud protocols, follow-up interviews, and satisfaction surveys to gather insights.
Provide specific recommendations for structuring the validation study, including tools (e.g., Figma, Adobe XD, Maze) and techniques for analyzing feedback. If additional context about the feature, target audience, or business goals is needed, ask clarifying questions to refine the suggestions.
Bonus Add-On Prompts
Propose methods for testing wireframes remotely with diverse user groups.
Suggest ways to synthesize qualitative and quantitative feedback from the validation study.
Highlight strategies to iterate on wireframes based on user insights.
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 the validation on specific aspects of the wireframe, such as navigation or layout.
Include testing with accessibility features to ensure inclusivity.
Propose A/B testing with multiple wireframe variations.
Highlight feedback collection methods tailored to enterprise vs. consumer users.
Add recommendations for follow-up actions after the study, such as iterative improvements.
WHEN TO USE
During the early design phase to validate whether the concept meets user needs.
To refine wireframes before moving to high-fidelity prototypes or development.
When exploring multiple concept variations and needing data to make decisions.
WHEN NOT TO USE
If the feature is already in development without flexibility for changes.
When the concept cannot be adequately conveyed through wireframes.