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Data-Driven Product Design

Keen
October 26, 2015

Data-Driven Product Design

Keen IO data engineer, Maggie Jan discusses key strategies and tactics for data-driven product design.

Industry Product Conference, 2015

Keen

October 26, 2015
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Transcript

  1. •Intro to Data •Build, Measure, Learn •Product design & how

    data can help •Applying analytics to your business •How to build effective analytics AGENDA
  2. What: Measurement of movement towards your business goals. Purpose: To

    iterate to product and market fit before you run out of resources Analytics: In a Nutshell
  3. Understandable If you’re busy explaining data, you’re not busy acting

    on it ex: rides requested What is a good metric? Comparative Maintains context. ex: rides/day Meaningful Centers around your core business goals. ex: revenue
  4. Good products provide customers with value Premium products provide high

    & dependable value Iterations build Relationships Measured by: Return visits, Retention, Engagement
  5. • Account creations • Deploys • Purchases • App Launches

    • Donations • Posts • Shares/Tweets/Likes A COMMON GOAL: ENGAGEMENT
  6. ANALYTICS DB CARS, TVs, ETC. WEBSITES WEBSITES CUSTOMERS DASHBOARDS MOBILE

    APPS queries queries queries events events events VISUALIZE DATA
  7. Gut instinct = Hypothesis Design a Test/Make Changes in Production

    Measure the Results Did we achieve goals? Controlled Experiments try again
  8. Exploratory Tries to find unexpected insights Source of competitive advantage

    via insights no one knew Reporting Keeps you abreast of day-to-day operations Predictable and repeatable Data & Product Design