Linearb Alternatives

DX has become a valuable tool for understanding and improving our engineering organization. The platform combines quantitative engineering data with qualitative survey insights in a way that genuineky helps translate developer pain points into business language for stakeholders. Support has been excellent, we have direct access to the DX team for quick issue resolution. Core product remains strong and the team continues to ship meaningful releases and improvements, especially around AI/GENAI impact measurement, even with the recent acquisitions made by Atlassian.

When we first adopted Jellyfish, we unintentionally fell into an anti-patten of micromanagement driven by the metrics it surfaced. Instead of using the data to ask better questions and understand context, we started over-rotating on activity-level numbers and dashboards This shifted conversations away from performance management as "understanding the why and coaching people" and toward inspecting every fluctuation in a chart. As a result, trust eroded and we temporarily lost sight of what good engineering leadership looks like: judgement, context, and dialogue rather than surveillance. We've since course-corrected but it took deliberate effort to unwind those behaviours.

Our overall experience with Typo has been extremely positive. It has provided us with unprecedented visibility into the operational health and performance of our engineering teams. What we previously measured intuitively, we now manage with real data through DORA metrics and workflow analysis.

My overall experience with the allstacks platform has been positive particularly due to its strong data integration capabilities which brings together insights from tools like jira git and ci CD pipeline into a unified view enabling better tracking in decision making while survey collection is not a port focus the platform effectively drives meaningful insights from existing engineering data reducing the need for manual feedback collection the access control mechanism is robust with rule based one mission ensuring secure and appropriate data visibility across stakeholders additionally its benchmarking metrics framework is highly valuable offering standardize performance indicators such as cycle time and delivery risk which helps team measures compare and continuously improve their engineering efficiency in a data driven manner

The implementation was really straightforward, smooth adoption across teams and the platform helped establish a consistent metrics framework for tracking engineering performance. The process was really well organized.

Great platform for clear and actionable engineering insights. The metrics framework helps teams track performance and identify bottlenecks. The benchmarking capabilities make it easy to compare trends and mesaure involvement over time. Also appreciate the seamless data integration.

Our overall experience has been very positive. The platform provides strong reporting and analytics capabilities, allowing data consolidation across multiple sources for meaningful insights. Flexible dashboards allow for improved visibility of key business metrics.

Harness AI dlc insights provided us much needed governance over the enterprise AI which brings the cost down between the token cost and actual engineering output. Its SEI software engineering insights gives a developer agent which tracks telemetry across coding assistents.