Engineering Feedback captures the "voice of the customer" and is an important mechanism to provide actionable insights and help Microsoft product groups continuously improve the platform and cloud services to enable all customers to be as productive as possible.
Please note that Engineering Feedback is an asynchronous (i.e. not real-time) method to capture and aggregate friction points across multiple customers and code-with engagements. Therefore, if you need to report a service outage or an immediately-blocking bug, you should file an official Azure support ticket and, if possible, reference the ticket id in the feedback that you submit later.
Even if the feedback has already been raised directly with a product group or on through online channels like GitHub or Stack Overflow, it is still important to raise it via Microsoft Engineering feedback so it can be consolidated with other customer projects that have the same feedback to help with prioritization.
Capturing and providing high-quality actionable Engineering Feedback is an integral ongoing part of all code-with engagements. It is recommended to submit feedback on an ongoing basis instead of batching it up for submission at the end of the engagement.
You should jot down the details of the feedback close to the time when you encounter the specific blockers, challenges, and friction since that is when it is freshest in your mind. The project team can then decide how to prioritize and when to submit the feedback into the official CSE Feedback system (accessible to CSE team members) during each sprint.
Good engineering feedback provides enough information for those who are not part of the code-with engagement to understand the customer pain, the associated product issues, the impact and priority of these issues, and any potential workarounds that exist to minimize that impact.
- Goal Oriented - states what the customer is trying to accomplish
- Specific - details the scenario, observation, or challenge faced by the customer
- Actionable - includes the necessary clarifying information to enable a decision
For example, here is an evolution of transforming a fictitious feedback with the above high-quality engineering feedback guidance in mind:
| Stage | Feedback Evolution |
|---|---|
| Initial feedback | Azure Functions Service Bus Trigger is slow for in-order scenarios |
| Making it Goal Oriented | Customer requests batch receiving for Azure Functions Service Bus trigger with sessions enabled to better support higher throughput messaging. They want to use Azure Functions to process as many messages per second as possible with minimum latency and in a given order. |
| Adding Specifics | Customer scenario was to receive a total of 250 messages/second from 50 producers with requirement for ordering per producer & minimum latency, using a Service Bus topic with sessions enabled for ordering. Batch receiving is not supported in Azure Functions Service Bus Trigger. |
| Making it Actionable | Customer scenario was to receive a total of 250 messages/second from 50 producers with requirement for ordering per producer & minimum latency, using a Service Bus topic with sessions enabled for ordering. According to Microsoft documentation, batch receiving is recommended for better performance but this is not currently supported in the Azure Functions Service Bus Trigger. The impact and workaround was choosing containers over Functions. The desired outcome is for Azure Functions to support Service Bus sessions with batch and non-batch processing for all Azure Functions GA languages. |
For real-world examples please follow Feedback Examples.
Please follow the Engineering Feedback Guidance to ensure that you provide feedback that can be triaged and processed most efficiently.
Please review the Frequently Asked Questions page for additional information on the engineering feedback process.