How Should We Decide When Data Is Incomplete?
Short answer
Use data where it exists, but recognize that emerging culture, taste, and timing may not show up in spreadsheets yet. Move when conviction is high, downside is bounded, and learning speed matters.
Use this answer when
- The team is waiting for perfect certainty.
- The choice is between learning in-market and polishing internally.
- Historical data conflicts with cultural/taste conviction.