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Atlassian's mission is to unleash the potential of every team. We make agile & DevOps, IT service management and work management software to help teams organize, discuss, and complete shared work. Over 300,000 companies of all sizes worldwide rely on Atlassian to help their teams work better together and deliver quality results on time
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I love that the product (or better to say products, because we use DX survey, Catalog, Scorecards) is easy to configure and configure. It is flexible and provides support like AI driven SQL builder which makes custom statistic gathering way easier. I love that the product provides measurable metrics that can be used to compare us to our previous cycles and other companies. This allows us to track progress and compare where certain metrics could be improved and where there are common pitfalls in the industry. I like to have statistics that are easily translatable to business language. This allows time to communicate with stakeholders and to receive time for engineering initiatives. The support is awesome. We do use slack to communicate which allows us to get quick feedback and suggestions as well as provide our notes on what could be improved. It's great to have this quick and professional but also informal two way communication.
1) Data Studio is an exceptionally powerful tool for creating custom reports. The integrated DX AI is a game-changer: it allows us to build complex SQL queries using natural language, enabling us to tailor metrics to our specific needs with 99% accuracy and minimal effort. 2) The support team goes beyond standard troubleshooting; they act as strategic partners. They are incredibly responsive to feedback and willing to adapt their roadmap - foe example, unlocking specific permissions or features quickly when we demonstrate a business need. 3) By ingesting data from multiple tools (e.g., Jira, GitHub, PagerDuty), DX eliminates manual data collection and delivers value from day one. We gain immediate insights through the ready-to-use reports but, crucially, by leveraging the ingested data within Data Studio to create new, custom reports tailored to our specific context.
What really sets DX apart is the level of support and partnership we've experienced - we have a direct communication channel to the DX team for quick issue resolution and feature discussions. We've also achieved remarkable engagement with the quarterly Snapshot surveys. The platform comes with lots of integrations like GitHub and Linear out of the box, but also allows us to send custom data to further enrich the available data. The AI assistant for writing database queries works almost magically, making it easy to create custom reports without deep SQL expertise. Overall, DX has become an invaluable tool for understanding and improving our engineering organization.
I work on the DevEx team so it is difficult to fill out a survey - to separate what I see as a problem in my team VS what I see as a problem in engineering.
1) Currently, keeping team rosters up to date requires manual effort. We are still investigating how to solve this problem. 2) We appreciate the fast pace of product releases, but this velocity can sometimes act as a double-edged sword. We have occasionally encountered regressions or UI bugs introduced by new updates. While the support team i extremely fast at fixing them, slightly more stability in releases would be ideal. 3) Aligning the platform's service catalog with our internale data sources required more manual configuration and 'wiring' than expected.
The main limitation we've encountered is the subscription structure, which can feel a bit restrictive. For example, we'd like to use the Sentry connector, but that requires upgrading to the Full Service Cloud package. It would be helpful to have more flexibility in selecting individual integrations without needing to jump to a higher tier. The catalog of services tends to be crowded with tools that appear to have been generated automatically, many of which aren't relevant to our stack. This makes it harder to navigate and find the integrations that matter to us. Finally, while many fields in DX show industry comparison values, these benchmarks are frequently missing, which makes it harder to interpret whether our numbers are good, average, or need attention. Having more consistent industry data would make the platform even more valuable for decision-making.