A deep-dive on real-time feedback and personalized surveys | Max Kanat-Alexander, Or Michael Berlowitz (LinkedIn)
Nov 30, 2022
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Max Kanat-Alexander and Or Michael Berlowitz discuss gathering real-time and periodic feedback from developers. They cover listening channels, volume metrics, building surveys, handling results, and the real-time feedback tool. They share experiences, advice, and insights on implementing this approach for developer engagement.
Real-time feedback provides immediate and detailed insights on new features.
Periodic surveys offer high-level trend analysis for overall satisfaction monitoring.
Configurable feedback channels and preference systems enhance user experience with tailored feedback collection.
Collaboration with stakeholders like tech leads and product managers is vital for targeted feedback campaigns.
Starting with basic implementations like trigger-based email surveys can showcase the value of real-time feedback systems.
Deep dives
Real-Time Feedback System and Periodic Surveys
The podcast episode delves into the implementation and benefits of real-time feedback systems and periodic surveys for understanding and improving developer experiences. Real-time feedback allows for specific and immediate feedback on new features, while periodic surveys provide high-level trend analysis. The value of real-time feedback lies in capturing detailed insights immediately after an action, enhancing the quality of feedback. On the other hand, periodic surveys offer continuous monitoring of overall satisfaction trends.
Feedback Gathering Mechanism and Channels
The discussion highlights the feedback gathering mechanism, primarily based on contextual data gathered from various integrated tools through platforms like Kafka. Feedback channels like survey widgets are configurable by tool owners, allowing for tailored feedback collection. Preferences systems are utilized to manage solicitation frequency, ensuring developers are not overwhelmed with multiple requests, fostering a user-friendly experience.
Stakeholders and Scenario Integration
Stakeholders involved in the real-time feedback system include tech leads, product managers, and executives overseeing different tool teams. The system works collaboratively with tool owners to set up targeted feedback campaigns. Integrating feedback from custom CLI tools alongside web tools showcases versatile scenario applicability, enabling the platform to provide insights across varied developer tool ecosystems.
Advice on Implementing Real-Time Feedback
Max offers insightful advice for those considering implementing real-time feedback systems, emphasizing starting with a periodic survey if no qualitative collection mechanism exists. He highlights the importance of engineering investment, identifying scenarios for real-time feedback, and prioritizing feedback mechanisms based on potential impact. Beginning with basic implementations like trigger-based email surveys can serve as an experimental entry point to showcase the system's value.
Bringing Value Through Targeted Campaigns
Brillo suggests targeting scenarios with apparent improvement potential to initiate real-time feedback experiments, guided by anecdotal evidence or prevalent tool dissatisfaction. Utilizing existing telemetry data to trigger feedback requests and analyzing the responses can inform scaling decisions. The actionable insights derived from simple proof of concepts can pave the way for broader utilization of real-time feedback systems.
Inspiring Insights and Collaborative System Development
The episode concludes with shared achievements and lessons learned, emphasizing the importance of communication between stakeholders for system improvements. Insights derived from real-time feedback systems and periodic surveys provide valuable feedback for optimizing developer experiences. Collaborative efforts between tool owners, tech leads, and executives drive continuous enhancement and understanding of user sentiments.
Encouragement for Strategic System Implementation
The conversations around real-time feedback system implementation and periodic surveys inspire platform and devx leaders to prioritize user feedback mechanisms. The scaling potential and impact-driven approach showcased in the podcast encourage organizations to adopt tailored feedback gathering strategies. Insights shared by Max and Brillo underscore the benefits of targeted real-time feedback campaigns in enhancing developer tool experiences.
Balancing Feedback Mechanisms for Comprehensive Insights
The podcast episode provides a glimpse into balancing real-time feedback and periodic surveys to ensure a comprehensive view of developer experiences. Leveraging real-time feedback for immediate insights into feature reactions and utilizing periodic surveys for trend analysis drives a holistic understanding of user satisfaction. The adaptability and configurable nature of feedback channels underscore the importance of user-centric feedback gathering mechanisms.
Continuous Improvement through Insightful Feedback Strategies
The discussion highlights the ongoing improvements initiated through insightful feedback strategies, focusing on continuous enhancement of developer tools. The collaborative efforts between stakeholders, personalized feedback mechanisms, and systematic analysis of real-time responses emphasize the value of user-centric feedback systems. Leveraging data-driven insights from real-time feedback and periodic surveys fuels iterative enhancements and fosters a culture of constant improvement.
Enhancing Developer Experiences Through Tailored Feedback
The podcast episode showcases the commitment to enhancing developer experiences through tailored feedback mechanisms, integrating real-time feedback systems and periodic surveys for comprehensive insights. The proactive approach to feedback gathering, targeting specific pain points, and implementing actionable insights underscores the value of user-centric system improvements. The emphasis on collaboration, telemetry-driven analysis, and strategic feedback campaigns highlights a strategic and user-focused approach to optimizing developer satisfaction.
