Product Sense with BUS and CIRCLES-Trial, No Login Needed

Example

A product manager is tasked with increasing user engagement on an e-commerce platform.

Scenario

Using BUS, the manager would first analyze the business aspect by understanding the current engagement metrics and their impact on revenue. Through User Understanding, they'd segment the user base to identify which group's engagement is lagging. Solution Understanding would involve assessing the feasibility of various features that could boost engagement. Parallelly, CIRCLES would guide the manager to comprehensively comprehend the engagement issue, identify the specific customer segment affected, report their engagement needs, prioritize the solutions, list out feasible features, evaluate their pros and cons, and summarize the action plan.

Example

Developing metrics to measure the success of a new feature that recommends products based on user behavior.

Scenario

BUS would help in aligning the metric with business goals (e.g., increasing average order value), understanding which user behaviors are indicative of interest in recommendations, and how the solution fits into the existing product ecosystem. With CIRCLES, the team would start by comprehending the situation surrounding product recommendations, identify the core customer base for this feature, report on their needs for personalization, prioritize the feature based on its potential impact, list out specific metrics that would indicate success (like click-through rates on recommendations), evaluate the trade-offs of focusing on different metrics, and summarize the metrics to be monitored.

Example

Choosing between adding a social sharing feature or a new payment method to improve checkout conversion rates.

Scenario

Using BUS, the decision would involve analyzing how each feature impacts the business (revenue and brand positioning), understanding user preferences for social engagement versus payment convenience, and assessing the technical complexity of each solution. CIRCLES would guide the evaluation by comprehensively understanding the checkout conversion challenge, identifying the primary user group making purchases, reporting on their specific needs related to checkout, prioritizing the solutions based on impact and feasibility, listing the potential improvements each feature could bring, evaluating the trade-offs (e.g., development time vs. potential uplift in conversion), and summarizing the recommendation to pursue the most impactful solution.