Analytics Review

Analyze quantitative data from digital analytics tools to understand user behavior patterns and identify opportunities for improvement.

Research Classification

Research Type

Attitudinal Behavioral

Behavioral: Focuses on what people do: their actual behaviors and actions.

Data Type

Qualitative Quantitative

Quantitative: Collects numerical data that can be measured and statistically analyzed.

Requirements

Budget

low

Minimal resources required

Timeline

short

1-2 weeks

Team Size

single

Can be conducted by one person

Research Goals

evaluation

Pros & Cons

Pros

  • ✓ Provides objective behavioral data
  • ✓ Identifies patterns across large user populations
  • ✓ Highlights conversion issues and drop-off points
  • ✓ Tracks changes over time
  • ✓ Cost-effective for large sample sizes

Cons

  • × Doesn't explain why users behave certain ways
  • × Requires proper tracking implementation
  • × Can be overwhelming without clear objectives
  • × Privacy concerns with data collection
  • × May miss qualitative insights

Use Cases

Example Scenario

Analyzing website analytics to identify high drop-off points in a checkout process.

Additional Applications

  • • Conversion funnel analysis
  • • User flow optimization
  • • Feature usage tracking
  • • Content performance evaluation
  • • User segmentation analysis