Address
Pittsburgh, PA
Work Hours
Monday to Thursday: 9AM - 5PM ET
Friday: 9AM -1PM
1. Discover
Clarity Before Code
Strong products start with understanding. We explore business goals, user needs, and market context through focused research, stakeholder conversations, and data review. AI assists with synthesis and analysis, allowing us to spend more time on the insights that actually drive good decisions.
Outcomes:
- User personas & stakeholder profiles
- Problem statements & opportunity maps
- Competitive & market analysis
- AI-assisted research summaries and insights
2. Design
From Insight to Interactive Prototype
We turn validated insights into functional, user-tested prototypes. Accessibility (A11y) and globalization (G11y) are considered from the start to support inclusive design. AI-assisted tools help us explore more options faster, so strong ideas surface early and iteration stays focused.
Outcomes:
- UX flows & wireframes
- High-fidelity, mobile-first UI prototypes
- Interactive demos for stakeholder review
- AI-generated variations for faster iteration
3. Develop
From prototype to production-ready
We prepare development-ready assets with clear specifications, organized components, and thorough documentation. When appropriate, we can also support the creation of functional MVPs to help teams validate ideas in real-world conditions before committing to a larger build.
Outcomes:
- Development-ready design systems and specs
- Functional MVPs for validation
- Accessible, scalable components
- AI-assisted QA and testing guidance
4. Deploy
Validate, learn, and refine
Whether supporting a beta or a public release, we focus on validation, measurement, and iteration. Continuous feedback loops help teams understand what’s working, what’s not, and what to improve next, so launches are informed by real usage rather than assumptions.
Outcomes:
- User testing & validation summaries
- Post-launch insights and performance signals
- Iteration and optimization recommendations
- AI-assisted feedback synthesis
Our Rapid 5-Day Cycle
Using an AI-Native workflow (Powered by NimbleBrisk™) this model is designed to explore opportunities, shape thoughtful solutions, and move ideas toward high-quality digital outcomes. The approach focuses on turning ideas into working features in just five days — without cutting corners or compromising craft.
Monday – Discover
The process begins by aligning on the problem, goals, and success metrics. Stakeholder input, lightweight research, and requirement definition typically happen at this stage.
Tuesday – Prototype & Stakeholder Review
A functional prototype is created and reviewed to gather fast, actionable feedback.
Wednesday – User Test & Refine
Feedback is incorporated, the prototype is refined, and usability testing helps surface risks and opportunities early.
Thursday – Harden & Secure
Validated designs are hardened and prepared, with an emphasis on quality, feasibility, and clarity.
Friday – Deploy & Track
Outcomes are reviewed, learnings are captured, and insights inform next steps.
Free Playbook
Get the 5-Day MVP Playbook
Discover how AI-first workflows cut costs, save time, and deliver user-validated products in just 5 days. Download The 5-Day MVP Playbook and learn how Big Nerd helps teams move from concept to MVP faster than ever.