Topic Definitions #
Lean Startup #
Lean Startup #
is a methodology aimed at creating and managing startups to achieve quick and efficient market entry while minimizing risks and uncertainties. In business and product development, it’s crucial to search and test hypotheses to validate ideas and make data-driven decisions. The Lean Startup methodology provides structured ways to experiment, measure, and refine concepts for success. She is based on several key principles:
- 1.Minimum Viable Product (MVP).
- 2.Build-Measure-Learn Cycle.
- 3.Hypotheses and Experiments.
- 4.Metrics and Analytics.
- 5.Pivots.
- 6.Customer Development Approach.
These principles enable startups to quickly adapt to changing market conditions, reduce resource wastage, and increase the chances of success.
Hypothesis #
Hypothesis #
Minimum Viable Product (MVP) #
Creating the simplest version of a product that allows the team to collect the maximum amount of validated learning about customers with the least effort. MVP helps search and test hypotheses, ensuring that businesses make data-driven decisions and gain feedback from real users.
Build-Measure-Learn Cycle for Hypothesis Testing #
A cyclical process that includes building (Build), measuring results (Measure), and learning (Learn). This cycle allows the startup to adapt and evolve based on feedback and data.
Short feedback cycle is the basis of the Build-Measure-Learn Cycle process
Lean Startup principles automation tool — Jira Product Discovery #
From ideas to impact, build what matters. Jira Product Discovery lets product teams capture and prioritize ideas and align everyone with product roadmaps - all in Jira.
Capture ideas and insights #
Product teams - you now have a dedicated home for your work. Gather and organize your product opportunities, user feedback, and feature requests all in one place.
