what metrics would you use to evaluate the atlassian platform's api ecosystem?

Introduction

Evaluating the Atlassian platform's API ecosystem requires a comprehensive approach to product success metrics. To address this challenge effectively, I'll follow a structured framework that covers core metrics, supporting indicators, and risk factors while considering all key stakeholders. This approach will help us gain a holistic understanding of the API ecosystem's performance and impact.

Step 1

Product Context

The Atlassian platform's API ecosystem is a crucial component of Atlassian's product suite, enabling developers to integrate, extend, and customize Atlassian tools like Jira, Confluence, and Bitbucket. Key stakeholders include:

1. Developers: Seeking to build integrations and extensions
2. Atlassian customers: Looking for customized solutions
3. Atlassian itself: Aiming to expand its ecosystem and increase platform stickiness

The user flow typically involves developers discovering APIs, reading documentation, testing endpoints, and implementing integrations. This ecosystem fits into Atlassian's broader strategy of creating a flexible, extensible platform that caters to diverse business needs.

Compared to competitors like Microsoft (Azure DevOps) or GitLab, Atlassian's API ecosystem is known for its robustness and extensive documentation. However, it faces challenges in terms of complexity and occasional inconsistencies across products.

In terms of product lifecycle, the API ecosystem is in a mature stage but continually evolving with new products and features.