• Agile Analytics for Startups

  • The Step-by-Step Guide for Building an Agile Startup with Data Analytics
  • De: Mert Damlapinar
  • Narrado por: Brandon J. Tedesco
  • Duração: 7 horas e 18 minutos

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Agile Analytics for Startups  Por  capa

Agile Analytics for Startups

De: Mert Damlapinar
Narrado por: Brandon J. Tedesco
Teste grátis por 30 dias

R$ 19,90/mês após o teste gratuito de 30 dias. Cancele a qualquer momento.

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Sinopse

While you work hard building your startup, one of the biggest challenges you’ll face will be around your product’s ability to solve a big enough problem and its success in the market. Agile Analytics for Startups will help you navigate the complexity of early-stage business analytics, performance measurement, and the metrics that matter to your company.

You can use the proven frameworks in this book to validate your product idea and the product/market fit, and understand your customers more granularly while you scale your business for automation. You can test and use many tools and solutions provided in the book and interact with different features of those solutions as you engage with other users of those products.

This book will provide you with a step-by-step framework, examples and powerful solutions, from ideation to growth and all the way to scaling your business as you build your company with the power of analytics.

  • Agility is your advantage over large companies
  • Understand business analytics essentials and define how you will measure the success of your business early
  • Once you define your solution for “the problem” you tackle, validate your customer
  • Keep a short list of KPIs for the success of your product
  • Engage your customers throughout the development cycle
  • Product/market fit should happen before you go to market big
  • Keep testing your product, reiterate continuously
  • Know when to pivot as you modify and optimize your roadmap

Be ready to speed up and maximize your output before the significant funding milestone(s).

©105 M. Mert Damlapinar (P)2022 M. Mert Damlapinar

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