Researching production log analysis & RCA — looking for engineer feedback

# Researching production log analysis & RCA — looking for engineer feedback

Hi everyone,

I'm doing some early market research around **production troubleshooting and log analysis** and would really appreciate feedback from people who actually deal with production systems.

I'm exploring a tool where engineers could interact with their logs using natural language, investigate production incidents, correlate events across different systems, perform RCA, and generate custom analysis/visualizations from historical log data.

Before building this further, I want to understand the **actual problems engineers face today** — how they investigate incidents, where existing tools fall short, how much time RCA takes, and whether this is a problem worth solving.

I've made a short **2–3 minute anonymous survey**:

[https://docs.google.com/forms/d/e/1FAIpQLSfbJt7moEOhZR9Xr8HXbKu5Y0F2Ep0Yv5xPFQlohKbH63r6Dg/viewform?usp=publish-editor\](https://docs.google.com/forms/d/e/1FAIpQLSfbJt7moEOhZR9Xr8HXbKu5Y0F2Ep0Yv5xPFQlohKbH63r6Dg/viewform?usp=publish-editor)

If you work with **SRE, DevOps, infrastructure, backend, Kubernetes, networking, observability, or production operations**, your experience would be especially valuable.

I'm looking for honest feedback, including negative feedback. **I'm trying to validate the problem, not just validate my idea.**

Thanks!