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name: hypothesis_generation router_kit: FullStackKit description: Bilimsel hipotez oluşturma, deney tasarımı ve test metodolojisi rehberi. metadata: skillport: category: research tags: [architecture, automation, best practices, clean code, coding, collaboration, compliance, debugging, design patterns, development, documentation, efficiency, git, hypothesis generation, optimization, productivity, programming, project management, quality assurance, refactoring, software engineering, standards, testing, utilities, version control, workflow]

🔬 Hypothesis Generation

Bilimsel hipotez oluşturma ve test metodolojisi rehberi.

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📋 Hipotez Yapısı

Format

CopyIF [independent variable/action]
THEN [dependent variable/outcome]
BECAUSE [mechanism/reasoning]

Örnek

CopyIF we reduce checkout steps from 5 to 3
THEN conversion rate will increase by 15%
BECAUSE fewer steps reduce friction and drop-off

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🎯 Hipotez Kriterleri

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🔧 Hipotez Türleri

A/B Test Hipotezi

Copy**Hypothesis:** Changing CTA button from blue to green 
will increase click rate by 10%

**Metric:** CTA Click Rate
**Baseline:** 2.5%
**Target:** 2.75%
**Sample Size:** 10,000 users
**Duration:** 2 weeks

Product Hipotezi

Copy**Problem:** Users abandon during onboarding
**Hypothesis:** Adding progress indicator will reduce 
abandonment by 20%
**Success Metric:** Onboarding completion rate

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📊 Experiment Design

Test Plan

Copy## Experiment: [Name]

### Hypothesis
[IF-THEN-BECAUSE statement]

### Variables
- Independent: [What we change]
- Dependent: [What we measure]
- Control: [What stays same]

### Metrics
- Primary: [Main KPI]
- Secondary: [Supporting metrics]
- Guardrail: [Safety metrics]

### Design
- Type: A/B / Multivariate
- Split: 50/50
- Duration: [X] weeks

### Analysis Plan
- Statistical test: [t-test, chi-square, etc.]
- Confidence level: 95%
- MDE: [Minimum detectable effect]

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📝 Prioritization (ICE)

CopyICE Score = (Impact + Confidence + Ease) / 3

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Hypothesis Generation v1.1 - Enhanced

🔄 Workflow

Kaynak: Stanford d.school Design Thinking

Aşama 1: Observation

• Data: Analitik verisi veya kullanıcı görüşmesinden bir "Insight" yakala.
• Problem: Gözlemi net bir problem cümlesine dönüştür.

Aşama 2: Construction

• Formula: IF [action] THEN [outcome] BECAUSE [reason] şablonunu kullan.
• Variables: Bağımsız (değişen) ve bağımlı (ölçülen) değişkenleri netleştir.

Aşama 3: Prioritization

• ICE Score: Impact (Etki), Confidence (Güven), Ease (Kolaylık) 1-10 puanla.
• Risk: Test başarısız olursa ne kaybederiz?

Kontrol Noktaları