Matt Yang — Skills Atlas

Product Strategy

0 to 1: Joining or starting something before it exists, and staying until it's a real business. The throughline of my career.
Market & competitive research: Studying the market, competitors and industry trends to decide where a product should go next.
MVP definition: Deciding the smallest product that real customers will use and learn from, scoped around a few named customers.
New product line launch: Taking a product into an adjacent market: an IT-Service Management line that grew from 3 to 9 customers and added $1M+ ARR.
North star metrics: One number that proves customers are getting value, and the leading indicators that move it.
Strategic roadmaps: A plan that ties what the team builds next to company objectives, and that customers and sales can actually read.

AI-powered feedback loops: Customer feedback loops cut from every 6 weeks to weekly, using working prototypes and feedback agents.
Customer Advisory Board: A quarterly board and showcase where each PM presented upcoming work to customers for direct feedback, then fed into the upsell rhythm.
Prototyping: Working prototypes on the real design system, in customers' hands within days and forkable into production.
UX research: Watching how people actually use the product, and turning that into design decisions.
Voice of the customer: Structured ways of hearing what customers actually need, and making sure it reaches the people deciding what to build.

A/B testing: Testing hypotheses against KPIs to decide which version of a feature to keep, and knowing when not to.
Agile & Scrum: Short cycles, visible work and regular course-correction, paired with OKRs so the sprints point somewhere.
Instrumentation & analytics: Measure before you optimize: instrumentation across usage, support tickets, call recordings and feedback, so every decision has data behind it.
OKRs: Objectives and key results that connect company, team and personal goals to measurable outcomes.
Product lifecycle: Owning a product from concept to scale, and bringing one in through an acquisition.
Third-party API integrations: Connecting the product to the tools customers already use, and now to the agents acting on their behalf.

Account health KPIs: Quantitative and qualitative signals that flag at-risk customers early enough to save them.
AI pricing & packaging: Pricing AI features on outcomes and value while protecting margin on a real cost basis.
Customer Success: Coming from the business side: owning implementation, retention and expansion taught me to see problems through the customer's eyes and in the customer's terms.
GTM & enablement: Working with sales, CS, marketing and support to learn what they need to succeed, then systematizing it so enablement ships as early as the product does.
Implementation playbooks: A methodical approach to process: implementation time cut from 12 weeks to 6, and product enablement built with the implementation team's needs in mind.
QBRs: Quarterly business reviews with customer leadership, backed by data and run by a team trained to do them without me.
White-glove consulting: A revenue-generating consulting offering built inside Customer Success, bought by 80% of clients.

Productizing services: Turning a manual, expert-only service into a repeatable, sellable thing. The pattern behind most of my work.
Remote team building: Building and running teams that work well without sharing an office.
SOPs & training: Standard operating procedures, onboarding and training material that let a service scale without quality slipping.
Team building: Hiring and growing teams: PMs, designers and CSMs, a 10-person company, and an agentic tiger team.

Agentic products: Designing and shipping agents that take real action inside a product: 10 agents across every HR module, plus a self-service Agent Studio.
Context switching: Running many agents on different tasks at once, and switching between them fast enough to give direction and catch drift early.
Evals: Error analysis on real traces first, then binary judges validated against human labels, run before launch and in production.
MCP & agent-ready APIs: Turning complex product APIs into MCP servers that agents can actually use.
Skills & agent harnesses: Suites of skills, sub-agents and generators that make building agents and functional prototypes a repeatable process anyone on the team can run.
This site's agent: The chat on this site: an agent built directly on the Claude API with five tools, a grounded corpus and a public eval suite.
Tool design: Giving an agent exactly the capabilities it needs and no more. This site's agent has four: get_current_time, check_availability, book_meeting, search_artifacts.

Bias for action: Getting something real in front of customers fast, because shipping and learning beats debating and guessing.
Cross-collaborator: Working across teams and building influence with stakeholders at every level, from engineers to the C-suite.
Entrepreneur: An entrepreneurial mindset in every seat I've held, from first employee to founder to leading new bets inside an established company.
Ever learner: Innate curiosity and a habit of always learning, which right now mostly means AI and how it changes the way we build.
Methodical: Systems over heroics: repeatable processes for prioritizing, discovering, shipping and measuring.
Self-starter: Seeing what needs to happen and starting it, without waiting for a mandate, a team or a spec.