1) Clarifying Questions:
Before proceeding, I would ask a few clarifying questions to understand the scope and context of the project:
What specific aspects of the Instagram UI are you looking to implement in the Facebook composer?
Are there any constraints or limitations that need to be considered for this change?
Do we have any preliminary user feedback or data suggesting that the Instagram-style UI might be beneficial for the Facebook composer?
Are there any specific success metrics or goals you have in mind for this UI change?
2) Prerequisites:
Success Metrics:
Engagement Metrics: Time spent composing posts, number of posts created, interactions (likes, comments), etc.
User Satisfaction: User surveys, feedback, sentiment analysis.
Retention Metrics: Frequency of returning users and churn rate.
Counter Metrics:
Negative Impact on Other Metrics: Are there any other key metrics, such as ad revenue or user engagement, that could potentially be negatively impacted?
Ecosystem Metrics:
Integration: Compatibility with existing features and third-party tools.
Technical Performance: Page load time, responsiveness, etc.
Control and Treatment Variants:
Control: Current Facebook composer UI.
Treatment: Instagram-style UI.
Randomization Units:
User accounts would be the randomization units, as each user account is an independent entity.
Null Hypothesis and Alternate Hypothesis:
Null Hypothesis (H0): The Instagram-style UI does not have a significant impact on user engagement compared to the current UI.
Alternate Hypothesis (HA): The Instagram-style UI leads to a significant increase in user engagement compared to the current UI.
3) Experiment Design:
Significance Level (α): 0.05
Practical Significance Level: Define a meaningful effect size (e.g., a 10% increase in user engagement).
Power (1 - β): 0.8
Sample Size: Use power analysis to determine the sample size needed to detect the defined effect size.
Duration: Run the experiment for a sufficient duration to capture different usage patterns (e.g., a few weeks).
4) Running the Experiment:
Ramp Up Plan: Initially, roll out the Instagram-style UI to a small subset of users to identify any early issues or bugs. Gradually increase the percentage of users with the new UI.
5) Result to Decision:
Basic Sanity Checks: Ensure that there are no technical issues or unexpected anomalies in the data.
Statistical Test: Perform a hypothesis test (e.g., t-test) to compare engagement metrics between the control and treatment groups.
Recommendation: If the p-value is below the significance level and the effect size is practically significant, recommend proceeding with the new UI.
6) Post Launch Monitoring:
Novelty/Primacy Effect: Watch for any initial spikes in user engagement due to the novelty of the new UI. This effect might taper off over time.
Network Effect: Monitor whether the adoption of the new UI by some users influences their friends' or followers' engagement and UI preference.
By following this approach, we can systematically evaluate the impact of changing the Facebook composer UI to resemble Instagram's and make an informed decision based on data-driven insights.