how would you define the success of atlassian platform's cross-product search feature?

Introduction

Defining the success of Atlassian platform's cross-product search feature requires a comprehensive approach that considers multiple stakeholders and metrics. To address this product success metrics challenge effectively, I'll follow a structured framework covering core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Step 1

Product Context

Atlassian's cross-product search feature is a powerful tool designed to enhance productivity across their suite of collaboration and project management tools. It allows users to search for information across multiple Atlassian products like Jira, Confluence, and Bitbucket from a single interface.

Key stakeholders include:

• End users (developers, project managers, and other knowledge workers)
• IT administrators
• Atlassian product teams
• Atlassian sales and customer success teams

User flow:

1. User initiates a search query from any Atlassian product
2. The system aggregates results from connected Atlassian products
3. User reviews and filters results, potentially navigating to specific items

This feature aligns with Atlassian's broader strategy of creating a seamless, integrated ecosystem of tools that enhance team collaboration and productivity. It's particularly crucial as organizations increasingly adopt multiple Atlassian products.

Compared to competitors like Microsoft (with its Microsoft 365 suite) or Google (with Google Workspace), Atlassian's cross-product search is more focused on developer and project management tools, potentially offering more relevant results for these specific use cases.

In terms of product lifecycle, cross-product search is likely in the growth stage. It's a established feature but still has significant room for improvement and adoption across Atlassian's user base.

Software-specific context:

• Platform/tech stack: Likely built on Atlassian's microservices architecture
• Integration points: Connects with various Atlassian products' APIs and databases
• Deployment model: Cloud-based for Atlassian Cloud customers, with potential on-premise options for Data Center customers