S4E3 - Create a more impactful testing roadmap with this framework - ft. Edmund Beggs
Mar 9, 2024
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Expert guest, Edmund Beggs, discusses the 'Levers Framework' for more impactful testing roadmaps. Topics include categorizing experiments, user behavior influences, A-B testing, optimization strategies, and industry benchmarking for CRO professionals.
Utilize documentation to analyze past experiments for effective levers in testing roadmap.
Lever's Framework aids in categorizing user behavior changes, prioritizing experiments, and conducting meta-analysis.
Deep dives
Overview of Lever's Framework
The Lever's Framework provides a standardized set of categories to organize changes in the user's mind that impact behavior. It categorizes experiments based on similarities in impacting the user's mindset. The framework aids in organizing data, prioritizing experiments, and conducting meta-analysis across different programs.
Structure of Lever's Framework
The Lever's Framework is hierarchically organized with five broad categories: cost, trust, usability, comprehension, and motivation. Each category contains subcategories that further define specific aspects related to user behavior. The framework enables a broad yet structured approach to understanding and categorizing experiment variables.
Implementation and Benefits of Lever's Framework
Applying the Lever's Framework aids in grouping experiments, identifying key user mindset changes, and broadening learning outcomes. It allows for defining independent variables at various levels of generality and encourages holistic analysis of experiment results. The framework's adaptable structure facilitates research, experiment prioritization, and iterative learning.
Role of Lever's Framework in Meta-Analysis
The Lever's Framework plays a crucial role in meta-analysis by providing a common language for categorizing experiments and collecting data at scale. It helps in replicating experiments, understanding user behavior trends, and making data-driven predictions. Lever's framework-based meta-analysis enhances the robustness and reliability of CRO strategies over time.
Documentation. The unsung, yet incredibly important part of any experimentation program. Great documentation allows you to look back at past experiments and find patterns of what were the most effective levers to inform your testing roadmap and levers you probably can deprioritize. In today's episode of Experiment Nation, our own Charlotte April Bomford recently spoke to Edmund Beggs about the "Levers Framework" which allows Convert.com to deliver results for their clients in shorter amounts of time. If you'd like to learn more about this interesting framework, watch the full interview.
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