Lean Analytics - How to Measure Your Product

Post on 18-Dec-2014

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This presentation was given to startup founders and software people to help them understand how to better measure the success (or failure) of their product by using objective data.

Transcript of Lean Analytics - How to Measure Your Product

How to Measure Your ProductData Driven Little Bets

Liron Hayun [ UX & Analytics Consultant ] | lironh@gmail.com

ANALYTICS UX

ANALYTICS

DATABASE

SURVEYS

EMAIL SERVICE

ANALYTICS

DATABASE

SURVEYS

EMAIL SERVICE

5 Steps to Epiphany

1) Identify business objectives

2) Translate to technical requirements

3) Implement

4) Measure & Learn

5) Maintain

Business ObjectivesStep 1

The 5 Common Business Objectives

★ Ecommerce - sell products/services

★ Lead Generation - collect user info & connect

★ Content - engagement & visits

★ Online Support - finding info at the right time

★ Branding - awareness, engagement & loyalty

Practical Guidelines

● Include macro and micro conversions

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● Distill customer-problem-solution hypothesis

● Find the riskiest assumptions

Technical RequirementsStep 2

How It Works

Users Sessions Interactions

Your Product Analytics Server

UserInteraction

Session

Session

● Dimensions - characteristics of your users, their

sessions and actions (e.g. country, traffic source).

● Metrics - the quantitative measurements of

users, sessions and actions.

Data Types

Key Metrics

● Pageviews / Screens● Events

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● Users● Sessions● Time on Page● Bounce Rate

Practical Guidelines

● Use a consistent syntax

○ upper/lower case letters

○ name of event actions

○ use of “-”

● Collect campaign data

ImplementationStep 3

ConfigurationCode

Practical Guidelines

● Build an infrastructure

○ maintain data integrity

○ easily measure new features

○ keep consistent syntax

● Setup goals in your analytics tool (!)

Measure & LearnStep 4

AARRR!1) Acquisition - users come from various channels

2) Activation - users enjoy first visit

3) Retention - users come back

4) Referral - users like product and refer others

5) Revenue - users conduct monetization behavior

Analysis Techniques

● Segmentation - isolate and analyze data subsets to understand behavior (by location, source).

● Context - use benchmarks to understand if your performance is good or bad (internal / external).

● Exploration - browse your data to find your next questions (landing/exit pages, bounce rates).

Acquisition

Sources Quality

Activation

Retention

Retention

Referral

Revenue

Maintain & RefineStep 5

Recommended Tools

➔ Google Analytics - free, robust analytics tool

➔ Optimizely - easy A/B testing

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➔ Google Forms - free surveys, easily embedded

➔ Qualaroo - onsite “nudges”

Thank You

Liron Hayun [ UX & Analytics Consultant ] | lironh@gmail.com