vuralserhat86

hypothesis_generation

27
10
# Install this skill:
npx skills add vuralserhat86/antigravity-agentic-skills --skill "hypothesis_generation"

Install specific skill from multi-skill repository

# Description

Bilimsel hipotez oluşturma, deney tasarımı ve test metodolojisi rehberi.

# SKILL.md


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.


📋 Hipotez Yapısı

Format

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

Örnek

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

🎯 Hipotez Kriterleri

Kriter Açıklama
Specific Net ve belirsizlik yok
Measurable Ölçülebilir outcome
Testable Test edilebilir
Falsifiable Yanlışlanabilir
Relevant İş hedefine uygun

🔧 Hipotez Türleri

A/B Test Hipotezi

**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

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

📊 Experiment Design

Test Plan

## 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]

📝 Prioritization (ICE)

Hypothesis Impact Confidence Ease Score
H1 8 7 6 7.0
H2 9 5 4 6.0
H3 6 8 9 7.7
ICE Score = (Impact + Confidence + Ease) / 3

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

Aşama Doğrulama
1 Hipotez yanlışlanabilir mi? (Her zaman doğruysa hipotez değildir)
2 Sonuç ölçülebilir bir metrik mi (Click rate, Retention)?
3 "Because" kısmı mantıklı bir kullanıcı davranışına dayanıyor mu?

# Supported AI Coding Agents

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Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.