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How to Use GitScrum for Prototype Development?

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:

  1. Concept - Idea definition
  2. Quick build - Rapid implementation
  3. Test - User testing
  4. Learn - Document insights
  5. Iterate - Improve or pivot
  6. Validate - Confirm viability
  7. Transition - To production

Prototype labels

LabelPurpose
type-prototypePrototype work
experimentTesting hypothesis
experiment-successValidated
experiment-failedInvalidated
ready-for-prodTransition ready
throwawayWill be rewritten

Prototype columns

ColumnPurpose
IdeasConcepts to try
BuildingQuick implementation
TestingUser feedback
ValidatedWorks
InvalidatedDoesn't work
Production ReadyTransition

NoteVault prototype documentation

DocumentContent
Concept briefWhat we're testing
Experiment logAll experiments
User feedbackTesting notes
LearningsWhat we learned
Transition planTo 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

PrototypeProduction
Speed > qualityQuality matters
Throwaway OKMaintainable
Manual processesAutomated
Limited scopeFull features
Quick and dirtyClean code

Time boxing prototypes

FidelityTime
Paper/wireframe1-2 hours
Clickable4-8 hours
Functional1-3 days
High fidelity1 week max

Feedback collection

MethodWhen
User interviewEarly concepts
Usability testFunctional prototypes
A/B testComparing options
MetricsQuantitative validation

Prototype iteration

SignalAction
Positive feedbackIterate forward
Mixed feedbackSpecific improvements
Negative feedbackPivot or kill
ConfusionSimplify

Transition checklist

CheckVerify
☐ Concept validatedUsers want this
☐ Requirements clearWhat to build
☐ Technical approachHow to build properly
☐ Backlog createdProduction tasks
☐ Tech debt plannedRebuild schedule

Common prototype mistakes

MistakeBetter Approach
Over-engineeringQuick and dirty
Too polishedMinimum fidelity
No user testingEarly feedback
Prototype to productionPlan transition

Prototype metrics

MetricTrack
Time to testBuild to feedback
Validation rate% validated
IterationsBefore decision
Transition timePrototype to production

Kill criteria

SignalAction
No user interestKill
Technical infeasibleKill or pivot
Better alternativesKill
Not strategicKill