SeeSaw Labs
How We Build Products That Drive Outcomes
Discover. Define. Design. Develop. Delight.
The Problem
Why "Build What You're Told" Fails
Requirements ≠ Outcomes
Well-written requirements can still lead to the wrong product. Without validating the problem, success metrics, and user needs, teams can deliver exactly what was asked for and still miss the business outcome completely.
Velocity Without Direction Creates Waste
Shipping faster doesn't matter if you're heading the wrong way. Teams that optimize for speed without clarity often burn budget building features that don't move the needle or create real value.
Clients Bear the Risk of Bad Decisions
In a traditional delivery model, agencies ship what they're told and move on—leaving clients to absorb the cost of misaligned strategy, expensive rework, and missed market opportunities.
We Operate Like a Product Team, Not a Dev Shop
Cross-Functional Teams
Product decisions aren't made in silos. By embedding product managers, designers, and engineers together, we align strategy, user experience, and execution from day one—ensuring every decision serves the end goal.
Business Outcomes Over Output
We don't measure success by features shipped or hours burned. We measure success by whether the product drives the results that matter—revenue growth, operational efficiency, market expansion, or customer satisfaction.
Shared Accountability With Clients
We don't just take orders and hand off deliverables. We partner with clients to own decisions, navigate tradeoffs, and drive outcomes together—reducing risk and increasing confidence at every step of the journey.
Framework
The Five D's Framework
A Simple, Repeatable Product Model
Clear purpose at every stage—AI accelerates every phase to deliver faster, smarter results.
Discover
Research user needs
Define
Clarify goals and scope
Design
Create solutions and flows
Develop
Build and iterate quickly
Delight
Measure and refine UX
Phase 1
Discover
What We Usually Hear From Clients:
  • "We need a new app"
  • "Our current platform is slow"
  • "Leadership wants AI"
What We Uncover:
  • The actual business problem
  • User pain points and unmet needs
  • Market expectations and benchmarks
AI-Powered
Discover: Accelerated With AI
Example AI Tools
  • Exa – Market & competitive research
  • ChatGPT – Research synthesis & insight generation
  • Perplexity – Rapid domain learning & validation
How This Looks in Practice
  • Crawl competitor sites, docs, pricing pages
  • Summarize positioning patterns and feature gaps
  • Generate first-pass personas and JTBD hypotheses
  • Identify industry norms vs. differentiators
Discover: Deliverables
What You Get
  • Problem statement (plain English)
  • High-level opportunity map
  • Initial personas / JTBD
  • Competitive landscape summary
  • Risks, unknowns, and assumptions
Artifact Examples
  • 2–3 page Discovery Brief
  • Opportunity sizing snapshot
  • "What success looks like" draft
Phase 2
Define
This is where most projects fail—because nobody agrees on priorities, tradeoffs, or success metrics.
We force clarity before design or code begins, ensuring alignment across stakeholders and eliminating costly surprises down the road.
AI-Powered
Define: Accelerated With AI
Example AI Tools
  • Notion AI – Strategy synthesis & alignment docs
  • ChatGPT – PRDs, hypotheses, success metrics
  • Linear (AI features) – Scope shaping & estimation
How This Looks in Practice
  • Clear problem statements
  • Outcome-based goals
  • Prioritized opportunity backlog
  • Stress-test scope against constraints
  • Model tradeoffs before development
Define: Deliverables
What You Get
  • Product vision & principles
  • Defined MVP (what's in / out)
  • Success metrics (business + user)
  • Delivery roadmap
Artifact Examples
  • Lean product requirements document
  • Outcome-based roadmap
  • Decision log (what we're not building)
Phase 3
Design
Explore solutions cheaply before building anything expensive.
Design is not just UI—it's problem solving made visible. We validate ideas through rapid prototyping, ensuring the right solution before investing in development.
AI-Powered
Design: Accelerated With AI
Example AI Tools
  • Lovable – Rapid interactive prototypes
  • Figma (AI features) – UI generation & iteration
  • Framer – UX copy, flows, edge cases
How This Looks in Practice
  • Generate real, clickable prototypes in days
  • Iterate live with stakeholders
  • Test multiple solution paths quickly
  • Validate before engineering investment
Design: Deliverables
Clickable Prototype
Interactive, high-fidelity prototype that stakeholders can test and explore
User Flows & Edge Cases
Complete mapping of user journeys and exception scenarios
UX Copy and Interaction Rules
Clear guidelines for microcopy, states, and behavior
Validated Design Direction
Tested approach with stakeholder buy-in and user validation
Phase 4
Develop
Production-quality software with speed, transparency, and adaptability.
We don't "throw designs over the wall." Product, design, and engineering stay integrated throughout development, ensuring seamless execution and continuous alignment.
AI-Powered
Develop: Accelerated With AI
Example AI Tools
  • GitHub Copilot – Faster, safer development
  • Cursor – Refactoring & debugging
  • ChatGPT – Test cases, documentation
How This Looks in Practice
  • Faster iteration cycles
  • Cleaner, more maintainable code
  • Reduced risk during refactors
  • Engineers focused on architecture, not boilerplate
Phase 5
Delight
Ensure the product actually delivers value after launch.
Shipping is not success. Outcomes are success.
Usage & Outcome Reports
Clear metrics on how the product performs against business goals
Improvement Recommendations
Data-driven insights on what to optimize next
Backlog of Validated Enhancements
Prioritized list of features backed by real user needs
Long-Term Product Partnership
Ongoing collaboration to evolve and scale your product
AI-Powered
Delight: Accelerated With AI
Example AI Tools
  • Hotjar – Behavioral insights
  • Gong or Intercom – User feedback & signals
  • ChatGPT – Feedback synthesis & insights
How This Looks in Practice
  • Analyze user behavior and feedback
  • Identify friction and drop-offs
  • Recommend improvements backed by data
  • Feed learnings into the next cycle
Traditional Agency vs. Our Model
Traditional Agency
  • Requirements in, code out
  • Success measured by hours billed
  • Client owns all risk and decisions
  • Hand-off mentality
Our Model
  • Outcomes first, always
  • Success measured by impact
  • Shared accountability and partnership
  • AI-accelerated product thinking
Sample Project Timeline
Discovery
1-2 weeks
Define
1 week (project definition and team alignment)
Design
1-2 weeks (prototype development and feedback)
Develop Phase 1
4 weeks (production development)
Develop Phase 2
4 weeks
Develop Phase 3
2 weeks
Total timeline: approximately 13-15 weeks
Team Structure & Investment
Our Agile Team Composition
1 Software Engineer
Expert in building scalable, robust solutions.
1 Designer
Crafting intuitive user experiences and interfaces.
1 Product Manager
Guiding strategy and ensuring product-market fit.
Investment
Discovery Phase
$15,000 (2 weeks)
Monthly Subscription
$32,000/month (team execution)