Your client's expectations are sky-high. How do you navigate when data insights fall short?
When data insights don't meet your client's high expectations, clear communication and strategic pivoting are key. Here's how to bridge the gap:
- Set realistic expectations early on by being transparent about potential limitations and uncertainties in data.
- Provide context for the data, explaining how external factors may influence results and how this impacts their goals.
- Explore alternative strategies or additional data sources that could provide the insights your client is seeking.
How do you handle situations where data falls short of client expectations? Share your strategies.
Your client's expectations are sky-high. How do you navigate when data insights fall short?
When data insights don't meet your client's high expectations, clear communication and strategic pivoting are key. Here's how to bridge the gap:
- Set realistic expectations early on by being transparent about potential limitations and uncertainties in data.
- Provide context for the data, explaining how external factors may influence results and how this impacts their goals.
- Explore alternative strategies or additional data sources that could provide the insights your client is seeking.
How do you handle situations where data falls short of client expectations? Share your strategies.