Company Context

Nimbus is a B2B workflow automation platform used by 12,000 mid-market customers to manage approvals, reporting, and internal operations. The company has strong retention and is expanding upmarket, but recent enterprise deals require major technical investments in platform reliability, permissions, and data architecture.

Problem

Over the last two quarters, Nimbus has shifted 60% of engineering capacity to technical work: rebuilding permissions, migrating to a new event pipeline, and improving API reliability. These projects are necessary for scale, but customer-facing teams report that product discussions have become architecture-heavy and disconnected from real user pain points. NPS for admin users has fallen from 41 to 35, and feature adoption in the last two launches was 18% below forecast because teams optimized for technical elegance rather than usability.

The VP of Product wants PMs to keep teams anchored on user value even when the roadmap is dominated by infrastructure and platform work. Your challenge is to explain how you would help a cross-functional team stay focused on users while still delivering complex technical initiatives on time.

Deliverables

1. Define how you would reframe a technically complex initiative in terms of user problems, target users, and expected outcomes.
2. Describe the rituals, artifacts, and team processes you would use to keep engineering, design, and leadership aligned on user value throughout execution.
3. Explain how you would prioritize between invisible technical work and visible user-facing improvements when capacity is limited.
4. Propose how you would measure whether the team is staying user-focused during and after delivery.

Constraints

• Only 40% of quarterly engineering capacity is available for net-new user-facing features.
• One major enterprise customer renewal depends on the permissions rebuild shipping within 4 months.
• User research bandwidth is limited to 6 interviews per month.
• The engineering lead strongly prefers minimizing scope changes once implementation begins.