Launch Executive Dashboard Communication Plan

Project Context

FinSight, a B2B SaaS analytics company, is launching a new executive dashboard for enterprise customers in 10 weeks. The project involves a 9-person cross-functional team spanning product, engineering, design, data, and customer success. The launch is high priority because two strategic customers have renewal decisions tied to better executive reporting, and leadership wants the feature announced at the company’s quarterly customer event.

Key Stakeholders

The VP of Product wants a polished launch on the committed date. The Engineering Manager wants to reduce scope to protect quality and avoid weekend work. Sales wants customer-facing messaging and demos ready early for pipeline deals. Customer Success needs clear enablement materials because existing customers have different reporting workflows and may be confused by changes.

Constraints

You have a fixed budget of $120,000 remaining, no approval for additional headcount, and a hard launch deadline in 10 weeks. The team includes 4 engineers, 1 designer, 1 data analyst, 1 PM, 1 QA lead, and 1 customer success manager. A dependency on the data platform team requires API changes by Week 4, but that team can only provide 6 engineering days total. Executive updates are expected weekly, while customer-facing teams need training materials at least 2 weeks before launch.

Complications

1. One enterprise customer wants custom metrics included before launch, but supporting them would consume about 25% of backend capacity.
2. The data platform lead prefers technical written updates, while the VP of Product expects concise decision-oriented summaries and may escalate if risks are not surfaced early.
3. Customer Success reports that pilot users are confused by terminology in the current prototype.

Deliverables

1. Create a 10-week execution plan with milestones, owners, and dependencies.
2. Explain how you would tailor communication to executives, engineers, Sales, and Customer Success.
3. Recommend how to handle the custom metric request and justify the trade-off.
4. Define launch readiness criteria and post-launch success metrics.
5. Identify the top execution risks and your mitigation plan.