| Prototype Testing | Creating early models of a product to gather feedback and iterate before full-scale development. | - Early insight into usability and design issues.
| - May not fully represent the final product experience.
| - Early product development stages.
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| Landing Page Testing | Creating a page to describe a potential product or feature to gauge user interest through actions like sign-ups. | - Quickly assesses user interest.
- Low cost and easy to implement.
| - May not capture depth of user engagement or feedback.
- High traffic needed for significant data.
| - Validating interest in a new product or feature before full development.
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| Wizard of Oz Testing | Simulating the functionality of a product or feature that doesn't yet exist to test user reactions. | - Allows testing of concepts without full development.
- Can provide valuable insights into user interest and behaviour.
| - May mislead users if not clearly communicated.
- Requires manual backend work to simulate automation.
| - Validating product concepts before committing development resources.
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| Concierge Testing | Manually providing services or features to users that you plan to automate in the future, to validate demand. | - Lowers initial development costs by validating ideas manually first.
- Provides deep insights into user needs and service delivery.
| - Not scalable; labour-intensive.
- May not reflect true user experience of the automated product.
| - Early-stage startups testing service concepts or features.
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| Fake Door Testing | Presenting the option for a non-existent product or feature to measure user interest based on engagement. | - Quickly gauges user interest without developing the feature.
- Easy to implement and analyse.
| - Potential to disappoint or frustrate users.
- Engagement metrics may not translate directly to actual usage or value.
| - Assessing user demand for new features or products.
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| Crowdfunding Campaigns | Using platforms to present product ideas to potential customers, gauging interest through financial pledges. | - Directly measures market demand and can fund development.
- Builds a community of early adopters.
| - Requires significant marketing effort.
- Success depends on the appeal of the campaign, not just the product.
| - Early-stage products seeking validation and funding.
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| A/B Testing | Comparing two versions (A and B) to see which one performs better. | - Direct feedback on preferences; easy to implement.
| - May require large sample sizes to be significant.
| - Web page designs, feature evaluations.
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| Multivariate Testing | Testing multiple variables simultaneously to see how they interact and affect outcomes. | - Can explore complex interactions.
| - Complex to set up and analyse.
| - Advanced product features, user interfaces.
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