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Growth Hacking

Verified methods to manage & boost your business (free course)

  • 1. Product Mindset (6)
    • 1.1. Product Mindset
    • 1.2. Did You Ask the Customer?
    • 1.3. Customer Development
    • 1.4. MVP vs MLP
    • 1.5. Product/Market Fit. Problem/Solution Fit
    • 1.6. Lean Startup. HADI Cycles
  • 2. Hypotheses, Lean Canvas (7)
    • 2.1. What Is a Hypothesis? 4 Types
    • 2.2. Problem Hypothesis
    • 2.3. Solution Hypothesis
    • 2.4. Segment Hypothesis
    • 2.5. Growth Hypothesis
    • 2.6. ABCDX Segmentation
    • 2.7. Lean Canvas
  • 3. Growth Mindset (16)
    • 3.1. Growth Mindset
    • 3.2. Other People Network
    • 3.3. Experiments. Growth Teams
    • 3.4. Hypothesis — Data Driven Learning
    • 3.5. ICE Scoring
    • 3.6. Growth Simulator
    • 3.7. Metrics
    • 3.8. North Star Metric
    • 3.9. AAARRR Funnel
    • 3.10. Unit-Economics
    • 3.11. Statistical Significance (Evan Miller)
    • 3.12. Growth Process
    • 3.13. Verification Methods
    • 3.14. Experiment Factory
    • 3.15. Aha-Moment
    • 3.16. Jobs To Be Done
Category

What is it?

Growth Hacking & Product Mindset are modern tools and methodologies for boosting sales and driving the successful development and growth of your business. It’s a solution- and data-driven action plan designed to maximize company growth with minimal effort.
Our Goal — to make Growth Hacking and Product Mindset solutions part of the daily toolkit for all businesses.

Who is it for?

This free course is designed for teams in startups, online businesses, and traditional companies — including marketing and sales professionals and managers, business owners, product managers, business development leaders, team leads, and business executives

Why join?

To make Growth Hacking and Product Mindset solutions part of the daily toolkit for all businesses.
In the free course, you will learn:

  • How to effectively increase profit
  • How to systematically grow sales and build customer loyalty
  • How to ensure a stable and competitive advantage
  • How to make effective data-driven decisions
  • How to implement a hypothesis-based product development strategy
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