Project Background

At Atlassian, the Growth Analytics team has produced an early analysis suggesting that a new in-product pricing insights dashboard could reduce enterprise deal cycle time by 5-8%, but the data is incomplete and the result is not yet statistically definitive. Leadership still wants a launch recommendation within 6 weeks because the feature is tied to Q3 pipeline targets and a major customer advisory board demo.

You are the program manager coordinating a 10-person cross-functional team across Product, Engineering, Design, Data Science, Sales Enablement, and Legal. The challenge is not just deciding whether to launch, but communicating uncertainty clearly enough that stakeholders can make a sound decision without over-interpreting the analysis.

Key Stakeholders

The VP of Product wants a visible Q3 launch. The Head of Sales wants a strong external narrative for enterprise prospects. The Data Science lead is concerned the analysis is only directionally useful and may change with two more weeks of data. Legal wants all customer-facing claims reviewed and is uncomfortable with speculative ROI messaging.

Constraints

• Timeline: 6 weeks to launch decision; 8 weeks to customer advisory board demo
• Budget: $120,000 remaining for engineering, design polish, and enablement assets
• Team: 10 people; no additional headcount approved
• Dependencies: event tracking fix due by end of Week 2; legal review requires 5 business days; sales training content must be finalized by Week 5

Complications

1. The event tracking bug affects 18% of dashboard usage data from the last month.
2. The VP of Product has already told the CEO the feature is "likely worth a broad launch."
3. Sales is asking for customer-facing claims before the analysis is fully validated.

Your Task

1. Build an execution plan for the next 6 weeks, including a launch recommendation path.
2. Define how you would communicate uncertainty to executives, Sales, and Legal without stalling progress.
3. Propose launch options (full launch, limited beta, or delay) and the trade-offs for each.
4. Identify the top risks, triggers, and mitigation actions.
5. Define success criteria for both the decision process and the launch outcome.