Why it matters
Streamlining the experiment design process from initial concept to developer handoff is crucial for efficient and effective A/B testing.
By providing a standardized approach, this Figma file helps:
- Clarify requirements and expectations for all stakeholders
- Ensure pixel-perfect designs for seamless developer implementation
- Maintain consistent documentation throughout the process
- Reduce miscommunication and back-and-forth between teams
- Accelerate the overall experimentation timeline
Adopting this resource can significantly boost your team's productivity and the quality of your A/B tests.
Video overview of the Figma file
How to use it
How to use the Figma file for experiment design:
- Setup:
- Fill out the experiment ID, name, and description in the variables section to ensure consistency throughout the file.
- Insights:
- Copy relevant insights to the insights page/board.
- Include visual insights like heatmaps to provide context for designers.
- Inspiration and Mood:
- Use the inspiration mood board to gather competitor examples, existing product features, or any visuals that inspire the design.
- This helps designers get creative and align with the experiment's goals.
- Experiment Design:
- Create designs for both desktop and mobile, if applicable.
- Start with the control version (no changes) and then modify it to create the variation.
- If you're not using Figma for your entire design landscape, you can take screenshots of the control and modify them for the variation.
- Developer Handover:
- Export designs as PNGs and hand them off to developers.
- If your developers have Figma licenses, they can use the "Dev Mode" for easier handover.
- Alternatively, provide developers with view access to the Figma link so they can inspect the designs themselves.
- Components:
- The components section is for easily duplicating sections, but you don't need to worry about it.
More tips
- Remember to fill out the variables section to avoid overwriting.
- Providing insights and inspiration can greatly help designers understand the context and goals of the experiment.
- A full guide on developer handover for A/B experiments will be released soon, which should further streamline the process.
- Reach out if you need any help with the design process or have questions about the template.
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