Growth cycle

• Data analysis
• Idea generation
• Experiment prioritisation
• Experiment running

Data analysis

• Identify power user behaviour (i.e. interaction with your product)
• Identify power user characteristics (where were they acquired from, any socio demographic factors)
• Identify where app drop off is taking place

Idea submission to an idea pipeline

• Idea heading (50 characters)
• Focus on:

(a) Who (will use feature)

(b) Where (will feature appear)

(c) How (will you test for feature utility eg AB test)

(d) When (does feature appear)

(e) Why (do you think feature matters?)

• Estimate expected uplift as a benchmark

Examine downstream metrics (eg higher sign up rate but lower retention due to inability to understand process)