CASE STUDY: TechSoup Customer Support
Transforming Customer Support for a Global Nonprofit Network
From chatbot ask to ecosystem-wide support system
Role: Lead UX Strategist
Focus: Product UX, content strategy, and systems integration
Note: Supplementary visuals available on request due to NDA
About TechSoup
Overview:
Global network spanning 60+ countries
About 700 employees with HQ in San Francisco and regional hubs in Corinth, London, Warsaw
Serves 1M+ registered nonprofits worldwide
Supports spans multiple regions, languages, and systems — supporting nonprofit customers and corporate partners.
Project Brief
Ask: Create chatbot UX standards to reduce strain on CS team
Initial assumption: Adding online chat would relieve pressure
Emotional turning point: Realized chatbot alone couldn’t solve systemic issues
My Impact
Role: Lead UX Strategist, reporting to Senior VP
Identified systemic UX blockers and reframed them as business risks
Defined strategy, multi-phase rollout, UX vision
Led taxonomy, UI content, flows, wireframes, and design review
Directed cross-system prototyping and mockups
Built foundational assets for scalable implementation
Built and mentored a UX sub-team
Secured executive backing and dev alignment without authority
Obstacles in Discovery
Fragmented, outdated, inconsistent support content across dozens of sites
Conflicting terminology created confusion internally & externally
No clear ownership of content
Leadership focused on chatbot as a silver bullet
Cataloguing the Ecosystem
Catalogued content across dozens of scattered sites
Mapped gaps, contradictions, and orphaned content
Documented terminology inconsistencies as systemic problem
Impact: Baseline evidence for support site + glossary
Support Site Build: Obstacles
Dev teams overloaded; no capacity for a new build
Design team feared limited CMS would break brand consistency
Devs resisted owning site maintenance in unfamiliar system
Business feared lack of login integration
Execution hurdles included:
Testing confusion
Migration bottlenecks
Domain setup
Support Site Build: My Moves
Selected Zendesk after weighing CMS options; aligned with tickets/chatbot
Created brand-compliant designs myself
Embedded governance: topic ownership + CS training
Built login-free UX to integrate smoothly across ecosystem
Iterated to resolve execution hurdles
Impact: Launched single source of truth — brand-aligned, scalable, resilient
Glossary (Consistency & Brand Integrity)
Trigger: Discovery exposed terminology chaos
Obstacles:
Politically sensitive
Bandwidth-limited owners
Restrictive CMS
My moves:
Secured executive sponsorship
Built glossary tool on intranet
Designed searchable UI despite tech limits
Established governance with exec pre-approval
Impact: One brand, one voice across the global network
Chatbot Guidelines & Integration
Obstacles:
Local teams needed custom settings for availability schedules
Out-of-box Zendesk chatbot UI was cluttered and confusing
My moves:
Authored global chatbot UX guidelines
Integrated bots to pull directly from the support site
Redesigned functionality & flow for clear self-service
Reconfigured UI architecture to handle local schedules
Impact: Expanded CS capacity while giving users instant, reliable answers
Cross-Site Search
Trigger: Users began journeys on other ecosystem sites
Obstacles:
Support site risked invisibility
Integration required aligning with multiple design systems
Dev delays for API research
My moves:
Designed integration patterns
Secured quick approvals
Negotiated decoupled rollout
Impact: Support answers surfaced ecosystem-wide, wherever users searched
Sustainability & Adoption
Obstacles:
Risk of ownership fading
Lack of accountability across departments
Bloated email templates
Teams untrained in UX writing or brand phrasing
My moves:
Embedded glossary and site into workflows, onboarding, style guides
Formalized governance with quarterly refresh cycles + exec sponsorship
Consolidated and rewrote templates, reducing length by 80%
Trained teams in UX writing and glossary use
Impact: Users got consistent answers; reduced CS training time; improvements scaled globally
Defining the Win
Ask vs Reality: From chatbot fix → ecosystem transformation
Obstacles: Leadership’s narrow focus; underlying chaos
Emotional turning point: Pride in turning hopelessness into design opportunity
Impact: Transformed support for 1M+ nonprofits
Fewer dead ends
Faster answers
More reliable experience
Key Takeaways
Leadership asked for a chatbot fix
Delivered a sustainable, ecosystem-wide solution
Key wins:
Single source of truth
Unified language
Chatbot integration
Lasting governance
Result: Reliable support for 1M+ nonprofits, scalable into the future
Appendix — Visual Assets
TBD