Last time you mastered A/B testing with snapshot comparisons. But what happens when you need to understand how your business changes over time?
Time series analysis reveals patterns that single-point measurements miss completely. Instead of asking "what happened," you ask "what's happening over time."
Engagement Message
What new question does time series analysis let you answer?
Time series data is simply measurements taken at regular intervals over time. Think daily sales, monthly customer signups, or quarterly revenue.
Unlike A/B testing where you compare two groups at one moment, time series tracks one metric across many moments.
Engagement Message
Can you think of a business metric you'd want to track over time?
Here's why the time dimension changes everything: patterns emerge that you'd never see in single snapshots.
Your coffee shop might average $817 daily, but what if Mondays are always slow and Fridays are always busy? This timing insight could revolutionize your staffing decisions.
Engagement Message
How might knowing weekly patterns change your business operations?
Time series reveals three key patterns. First is trend - the general direction your metric moves over time.
Is your customer base growing, shrinking, or staying stable over months? Trend tells you if you're winning or losing in the long run.
Engagement Message
What would an upward trend in customer complaints tell you?
The second pattern is seasonality - regular, predictable fluctuations that repeat over time. Ice cream sales peak in summer, tax software sales spike in spring.
Seasonality helps you plan inventory, staffing, and marketing campaigns around predictable patterns.
Engagement Message
What seasonal patterns might affect your business or industry?
