Resource Forecasting for Scalable Product Delivery

Developed a realistic capacity planning and KPI model for Product Design output to improve predictability and scalability of UX delivery at Rewst. This initiative ensures design and frontend development resources are fully understood and strategically allocated to meet quarterly and annual UX improvement goals.

Challenge

  • Unclear understanding of how much UX work (major features, medium improvements, polish) could be delivered per sprint, quarter, or year.

  • Engineering bottlenecks and inconsistent estimations made it difficult to plan UX improvements effectively.

  • Lack of directional KPIs made it hard to communicate progress to stakeholders and maintain continuous UX enhancements.

Approach

  • Analyzed historical design output across teams and compared it with available frontend engineering capacity.

  • Defined Company-Wide UX Output Goals:

    • Major UX features: 1–2 per quarter, 3–6 annually

    • Small/Medium improvements: 3–5 per quarter, 12–20 annually

    • Continuous polish: 1 item per sprint, 12–24 annually

  • Created Per-Team Expectations:

    • Major UX Feature: 0.5–1 per quarter per team

    • Small/Medium Improvements: 1–2 per quarter per team

    • Continuous Polish: 1 per sprint per team

  • Outlined example outputs and why visible, continuous UX improvements matter for retention and product health.

  • Developed these targets as flexible KPIs to measure design impact without turning them into rigid quotas.

Outcome

  • Established a clear and realistic understanding of design and frontend delivery capacity.

  • Enabled better roadmap planning and prioritization of UX initiatives.

  • Increased visibility of design contributions to product evolution, improving stakeholder alignment.

  • Set a foundation for future design resource scaling and strategic hiring decisions.