Desenvolvimento de Protótipos | GitScrum

Gerencie desenvolvimento de protótipos usando GitScrum. Itere rapidamente, colete feedback e transite de protótipo para produção.

4 min de leitura

How to use GitScrum for prototype development?

Manage prototype development in GitScrum with rapid iteration cycles, experiment labels, and quick feedback loops. Document learnings in NoteVault, track what works vs what doesn't. Prototype teams with structured workflow validate concepts 60% faster [Source: Prototype Development Research 2024].

Prototype workflow:

Concept - Idea definition

Quick build - Rapid implementation

Test - User testing

Learn - Document insights

Iterate - Improve or pivot

Validate - Confirm viability

Transition - To production

Prototype labels

Label	Purpose
type-prototype	Prototype work
experiment	Testing hypothesis
experiment-success	Validated
experiment-failed	Invalidated
ready-for-prod	Transition ready
throwaway	Will be rewritten

Prototype columns

Column	Purpose
Ideas	Concepts to try
Building	Quick implementation
Testing	User feedback
Validated	Works
Invalidated	Doesn't work
Production Ready	Transition

NoteVault prototype documentation

Document	Content
Concept brief	What we're testing
Experiment log	All experiments
User feedback	Testing notes
Learnings	What we learned
Transition plan	To production

Experiment task template

## Experiment: [name]

### Hypothesis
If we [change], then [outcome] because [reason].

### Quick Build
- Time box: [hours]
- Fidelity: [low/medium/high]
- Scope: [what to build]

### Test Plan
- Users: [who]
- Method: [how]
- Metrics: [what]

### Results
- Outcome: [ ] Validated [ ] Invalidated
- Data: [observations]

### Learnings
[What we learned]

### Next Steps
[Iterate/Pivot/Transition]

Prototype vs production

Prototype	Production
Speed > quality	Quality matters
Throwaway OK	Maintainable
Manual processes	Automated
Limited scope	Full features
Quick and dirty	Clean code

Time boxing prototypes

Fidelity	Time
Paper/wireframe	1-2 hours
Clickable	4-8 hours
Functional	1-3 days
High fidelity	1 week max

Feedback collection

Method	When
User interview	Early concepts
Usability test	Functional prototypes
A/B test	Comparing options
Metrics	Quantitative validation

Prototype iteration

Signal	Action
Positive feedback	Iterate forward
Mixed feedback	Specific improvements
Negative feedback	Pivot or kill
Confusion	Simplify

Transition checklist

Check	Verify
☐ Concept validated	Users want this
☐ Requirements clear	What to build
☐ Technical approach	How to build properly
☐ Backlog created	Production tasks
☐ Tech debt planned	Rebuild schedule

Common prototype mistakes

Mistake	Better Approach
Over-engineering	Quick and dirty
Too polished	Minimum fidelity
No user testing	Early feedback
Prototype to production	Plan transition

Prototype metrics

Metric	Track
Time to test	Build to feedback
Validation rate	% validated
Iterations	Before decision
Transition time	Prototype to production

Kill criteria

Signal	Action
No user interest	Kill
Technical infeasible	Kill or pivot
Better alternatives	Kill
Not strategic	Kill