ProductizeML
  • ProductizeML
  • Introduction
    • Objectives
    • About the Course
    • Guidelines
    • Syllabus
    • After Completion
  • Machine Learning
    • Why ML, and why now
    • Supervised Learning
    • Unsupervised Learning
    • Deep Learning
    • ML Terminology
  • Data Management
    • Data Access
    • Data Collection
    • Data Curation
  • Train and Evaluate
    • Framework and Hardware
    • Training Neural Networks
    • Model Evaluation
  • Productize It
    • ML Life Cycle
    • Business Objectives
    • Data Preparation
    • Model Development
    • Train, Evaluate, and Deploy
    • A/B Testing
    • KPI Evaluation
    • PM Terminology
  • Resources
    • Readings
    • Courses
    • Videos
  • Hands-On
    • Python for Machine Learning
      • Python Installation
        • MacOS
        • Linux
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  • Business Impact Analysis
  • Readings

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  1. Productize It

KPI Evaluation

You will learn: how to effectively iterate over your launched product.

PreviousA/B TestingNextPM Terminology

Last updated 2 years ago

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Once your product is deployed and users start interacting with it, their insights will guide you through the next optimizations steps. A good way to evaluate the success of these is by defining KPI (Key Performance Indicator) that are aligned with your as described before.

Based on the customer interactions with the product, you will be able to customize the product experience for each customer segment. During this iterative process, there must be constant communication between all stakeholders involved, in order for Product Managers to guide the Data Science team toward the most impactful features to include for the business.

Business Impact Analysis

Business Impact Analysis (BIA) tries to predict the consequences of disruptions to a business by collecting data and measuring metrics to develop alternative strategies if our proposed solution fails. For AI solutions, BIA is highly recommended since the risk of integration and customer adoption is usually pretty high.

Readings

Notes from the AI frontier: Modeling the impact of AI on the world economyMcKinsey & Company
Business Objectives
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