Glantz
Building studio operations that sustained high-volume delivery and enabled capability expansion
Role: Studio Lead & Design Operations
Scope: Founder transition → operational standardization → data-backed planning → sustained retention
Transformed a founder-led studio from centralized quality control to distributed, system-driven operations.
Impact at a Glance
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Maintained 90% retention during studio growth through career architecture
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Reduced late-stage revisions by up to 80% through phased QA checkpoints
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Tracked daily utilization and weekly capacity reporting to guide hiring
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Shifted quality oversight from founder-dependent review to distributed team standards
The Problem
Glantz was winning larger, more complex projects, but had no systems to prevent bottlenecks, manage client expectations, or ensure consistent quality at scale.
What was breaking
No visibility into team capacity or utilization
Quality inconsistency across 125+ annual projects
Client revisions consuming 30%+ of project time
Reactive resourcing causing team burnout
What was at risk
Revenue ceiling: Couldn't scale beyond existing capacity without operational collapse
Talent retention: Team burnout from constant firefighting
Quality consistency: No standards meant preventable rework.
The Decision That Mattered
Build systems that remove friction, not add process. Standards would be embedded in existing tools, designed to eliminate late-stage rework (not add upfront steps), and opt-in where possible.
What I Built
Request routing that separated exploratory from executional work
The mechanism:
Clients often requested "design" without clarity on scope. Built intake model distinguishing:
Strategic projects requiring discovery (IA, UX strategy, brand positioning)
Executional projects with clear specs (implementation, production design)
Why it mattered:
Teams could resource appropriately. Exploratory work got thinking time; executional work moved fast.
Adoption proof:
Became default routing model. Studio could estimate timelines accurately within first client conversation.
Quality standards teams could apply without escalation
The mechanism:
Built 400+ item quality checklist across:
Accessibility compliance (WCAG 2.1 AA)
Browser/device compatibility
Content structure and hierarchy
Design system consistency
SEO and performance standards
Why it mattered:
Designers caught issues before client review. Reduced late-stage rework and emergency fixes.
Adoption proof:
80% reduction in client revisions. Checklist still in use, now maintained by team.
Capacity planning showing real utilization, not guesswork
The mechanism:
Tracked weekly utilization across 15-person team:
Billable hours by project
Non-billable time (internal systems, training, business development)
Capacity availability for new work
Why it mattered:
Eliminated reactive resourcing. Leadership could see bottlenecks forming before they caused delays or burnout.
Adoption proof:
Studio sustained 12-15 person operations through market shifts, adjusting capacity to demand without over- or under-hiring.
Tooling modernization & shared libraries
The mechanism:
Led migration from Photoshop-based UX workflows to Sketch, then to Figma::
Consolidated design work to single source of truth
Built shared component libraries across design and development
Standardized project templates for repeatable setup
Partnered with development to implement shared Figma component libraries
Why it mattered:
Reduced design-to-development friction. Teams worked from shared foundations instead of rebuilding components per project.
Adoption proof:
Figma became default tool for all design work. Setup time decreased, and cross-team collaboration improved through shared libraries.
Scaling the team, not just the work
Team development framework that built capability, not just filled roles
The mechanism:
Defined career progression criteria (IC → Senior → Lead)
Created skill development plans tied to project assignments
Established quarterly growth conversations separate from performance reviews
Why it mattered:
Team members saw path forward. Studio could promote from within instead of always hiring externally.
Adoption proof:
90% retention rate over 3 years. Team capability compounded rather than reset with turnover.
What Changed
Decision velocity increased: teams evaluated scope and estimated timelines without leadership bottleneck
Quality became predictable: consistent work regardless of which team members were assigned
Hiring became strategic: resourcing decisions based on capacity data, not panic
Team capability compounded: 90% retention meant institutional knowledge grew instead of resetting
What Scaled Forward
Quality checklist: Maintained by team with quarterly updates
Capacity planning model: adopted by leadership for all hiring decisions
Request routing framework: became default intake process
Career frameworks: team leads operated independently making it part of review process