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Lean startup 101 (Case Study oleh Fajar Anugerah dan Dondi Hananto di Indonesia)
- 1. Lean Startup 101 @dondihananto @fajaranugerah #leanjkt
- 2. 98% startup fails 2 *Lean Startup Machine intro deck
- 3. 3 They build solution first *Lean Startup Machine intro deck Why?
- 4. 4 Customer > Problem > Solution *Lean Startup Machine intro deck
- 5. 5 Customer < Problem < Solution *Lean Startup Machine intro deck
- 6. took too much time 6 Why?
- 7. 7 180 days vs 3 days *Lean Startup Machine intro deck
- 8. 8 They invest too much with too little certainty Why?
- 9. 9 Building prototypes PR activities ‘Market Research’ *Lean Startup Machine intro deck
- 10. 10 You are here to advance the science of entrepreneurship Photo by ESO/L. Calçada/Nick Risinger [CC-BY-3.0 (http://creativecommons.org/licenses/by/3.0)], via Wikimedia Commons
- 11. 11 You are here to get a taste of how we can increase the chance of success in developing useful solution Photo by ESO/L. Calçada/Nick Risinger [CC-BY-3.0 (http://creativecommons.org/licenses/by/3.0)], via Wikimedia Commons
- 12. 12 Lean Startup is a ‘scientific methodology’ to decrease the risk of starting something (we hope) impactful
- 13. 13 Challenge our assumptions by Getting Out of the Building How?
- 14. 14
- 16. 16 Know your goal: - Problem validation - Solution validation - Product validation Experiment?
- 17. 17 3 types: Explore Pitch Concierge Experiment?
- 18. Case Studies @dondihananto #leanjkt
- 19. Personal Experience – Lean Startup Machine 2013
- 20. 20 Exploration: Identify early adopters Talk to early adopters (GOOB) Goal: validate problem & existing solution Target: 6/10 confirms Experiments
- 21. 21 Pitch: Create landing page 2 channels: face-to-face (GOOB) & online Goal: validate solution Experiments
- 22. 22 Pitch: Create landing page 2 channels: face-to-face & online Goal: validate solution Target online: 5/10 conversion rate (register) Target offline: 8/10 conversion rate (register) Experiments
- 23. 23 Concierge (unexpected): Deliver the service 1 team member play vs customer Learning: skill level matters! Experiments
- 24. The Famous Dropbox Video (and Landing Page)
- 25. The Famous Dropbox Video (and Landing Page)
- 27. How They Started
- 28. (Not So) Famous Concierge Examples
- 29. (Not So) Famous Concierge Examples
- 30. What Can Be Learned From Experiments? •User expectation •User ACTUAL behaviour •Killer feature •Operational details •Willingne$$ to pay
- 31. Now…time to work! •Think of a problem worth solving •Write it down in one simple sentence •Think of who experienced/impacted by the problem or who will benefit if the problem is solved •Come forward and share in 60”
- 32. Now Get Out Of The Building!!! @dondihananto @fajaranugerah dondi@kinaraindonesia.com fajar@kinaraindonesia.com www.kinaraindonesia.com www.dondihananto.com