Handbook
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Design & UX
Prototyping Tools and When to Use Them
From paper sketches to high-fidelity prototypes, here's how to pick the right tool for the job.
Prototyping is how you test ideas before building them. The right prototype at the right time saves weeks of development. The wrong prototype wastes time or gives false confidence.
Here’s how to think about prototyping at different stages.
The Fidelity Spectrum
Prototypes range from low-fidelity (rough sketches) to high-fidelity (pixel-perfect, interactive):
Low-fidelity: Paper sketches, wireframes, basic shapes
Mid-fidelity: Gray boxes with real text, basic interactions
High-fidelity: Real visuals, smooth animations, feels like final product
Higher fidelity isn’t better—it’s more expensive and takes longer. Match fidelity to what you need to learn.
When to Use What
Paper and Whiteboard
What: Hand-drawn sketches of screens and flows
When to use:
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Initial brainstorming
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Exploring multiple concepts quickly
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Internal team discussions
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Very early validation
Pros:
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Fastest possible
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Zero learning curve
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Easy to throw away
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Encourages feedback (looks unfinished)
Cons:
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Can’t share remotely easily
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No interaction
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Hard to test with users
Time to create: Minutes
Wireframes
What: Simple screen layouts showing structure without visual design
Tools:
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Excalidraw (free, simple)
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Figma (free, more structured)
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Balsamiq (paid, purpose-built)
When to use:
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Defining information architecture
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Planning user flows
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Getting alignment on structure
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Before investing in visual design
Pros:
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Quick to create
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Focuses feedback on structure, not style
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Easy to iterate
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Can share and comment
Cons:
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Users may not understand what’s “placeholder”
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No real interaction testing
•
Can feel abstract
Time to create: Hours
Clickable Prototypes
What: Static screens linked together to simulate navigation
Tools:
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Figma prototypes
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Sketch + InVision
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Adobe XD
When to use:
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Testing navigation and flow
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User testing before build
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Stakeholder presentations
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Developer handoff
Pros:
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Tests real user behavior
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Feels more real than wireframes
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Catches flow problems early
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Generates usable design specs
Cons:
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Time-consuming for complex flows
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Can give false confidence (looks done)
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Interactions limited to clicks
Time to create: Days
High-Fidelity Interactive Prototypes
What: Pixel-perfect with animations, transitions, and complex interactions
Tools:
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Figma (with smart animate)
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Framer (powerful interactions)
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ProtoPie (advanced interactions)
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Principle (Mac-only, great for animations)
When to use:
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Testing micro-interactions
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Validating motion design
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Convincing stakeholders
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Complex interaction patterns
Pros:
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Most realistic testing
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Validates subtle UX decisions
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Impressive for demos
Cons:
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Time-consuming
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Easy to over-invest
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Changes are expensive
Time to create: Days to weeks
Code Prototypes
What: Actually built (but throwaway) implementations
When to use:
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Testing technical feasibility
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When design tools can’t express the idea
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Real data needed for testing
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Interaction patterns unique to your product
Pros:
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Most realistic
•
Tests actual implementation
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Can become production code (carefully)
Cons:
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Slowest to create
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Risk of “prototype becoming product”
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Requires development skills
Time to create: Days to weeks
Figma: The Go-To Tool
For most startups, Figma covers 80% of prototyping needs:
Strengths:
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Free for small teams
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Design and prototype in one tool
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Real-time collaboration
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Great developer handoff
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Large component library ecosystem
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Works in browser
Limitations:
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Complex interactions require workarounds
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Can’t do real data
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Performance with huge files
How to prototype in Figma:
1.
Create frames for each screen
2.
Select elements and add prototype links
3.
Define transitions (instant, dissolve, smart animate)
4.
Preview with Play button
5.
Share prototype link for testing
Figma Tips
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Use components for consistency
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Auto-layout makes designs responsive
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Smart animate transitions elements between frames
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Use variants for state changes (hover, active, etc.)
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Keep prototypes in a separate page
The Prototype Decision Framework
Ask these questions:
1. What are you trying to learn?
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Structure/flow → Wireframes
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Can users complete tasks? → Clickable prototype
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Do animations feel right? → High-fidelity prototype
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Is this technically possible? → Code prototype
2. Who’s the audience?
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Internal team → Lower fidelity okay
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User testing → Mid-fidelity minimum
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Stakeholders/investors → Higher fidelity helps
3. How certain are you?
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Very uncertain → Stay low-fidelity, iterate fast
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Fairly confident → Invest in higher fidelity
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Testing one specific thing → Match fidelity to the specific question
4. What’s the time budget?
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Hours → Wireframes
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Days → Clickable prototype
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Weeks → High-fidelity
Prototyping Best Practices
Start Rough, Refine Later
Begin with paper or wireframes. Only increase fidelity when you’ve validated the basic concept.
Test Early and Often
A wireframe test is better than no test. Don’t wait for perfection.
Simulate the Happy Path
Focus prototypes on the main flow first. Don’t try to cover every edge case.
Make It Feel Finished Enough
If it’s too rough, users give feedback on the roughness, not the concept. Goldilocks zone.
Throw It Away
Prototypes are for learning, not shipping. Don’t get attached. The code will be rewritten anyway.
Name Your Assumptions
What is this prototype assuming? Document it so you know what’s tested and what isn’t.
Common Mistakes
Over-investing in high-fidelity too early: Spending a week on a beautiful prototype for an unvalidated concept.
Under-investing when fidelity matters: Using rough wireframes to test interaction details that require polish.
Prototype as spec: Expecting developers to match a prototype exactly. Prototypes are approximations.
Forgetting the context: Prototypes tested on desktop may not translate to mobile. Test in the right context.
No testing: Building prototypes but never showing them to users.
Key Takeaways
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Match fidelity to what you need to learn
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Paper and wireframes for exploration and structure
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Clickable prototypes for flow and navigation testing
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High-fidelity for interaction details and stakeholder buy-in
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Figma handles most needs; add specialized tools for specific needs
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Prototypes are for learning—test early, iterate, throw away
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