This guide will help you understand considerations and trade-offs with:

• Breadth of capabilities: Which advanced features, functions, and integrations will you need for everyone to easily experiment?
• Cost of ownership: What is the total cost of ownership for developing and maintaining the platform over time?
• Statistical rigor: Do you have confidence that your experimentation platform is producing reliable results?
• Adoption and scale: What support and processes do you need to scale and be adopted across your organization?

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