How does length of check-in process influence satisfaction rate?
A poor check-in experience can have a lasting impact on your patients.
Build the Analysis
DATASET
ALL Checked In
FIRST IN BETWEEN Started Appointment
FIRST IN BETWEEN Gave Feedback
Add feature column for Gave Feedback Rating
Add feature column for Minutes to Started Appointment
ANALYZE
Increase Avg Rating (#)
by analyzing the influence of Minutes to Started Apointment
by month
How does length of appointment influence retention?
More time spent with patients can make an impact on the patient.
Build the Analysis
DATASET
ALL Started Appointment
FIRST IN BETWEEN Ended Appointment
FIRST IN BETWEEN Started Appointment
Add feature column for Minutes to Ended Appointment
ANALYZE
Increase Conversion Rate to Another Started Appointment (%)
by analyzing the influence of Minutes to Ended Appointment
by month and ☑️ filter data for people who can still convert
How do long wait times influence retention?
Find out how long is too long.
Build the Analysis
DATASET
ALL Started Appointment
LAST BEFORE Checked In
FIRST IN BETWEEN Started Appointment
Add feature column for Minutes from Checked In
Filter for Did Checked In = 1
ANALYZE
Increase Conversion Rate to Another Started Appointment (%)
by analyzing the influence of Minutes from Checked In
by month and ☑️ filter data for people who can still convert
How does age of patient influence frequency of visits?
Some patients require more attention than others, find out which ones.
Build the Analysis
DATASET
ALL Started Appointment
FIRST IN BETWEEN Started Appointment
Add customer column for Age
ANALYZE
Increase Average Days Between Started Appointment (#)
by analyzing the influence of Age
by month and ☑️ filter data for people who can still convert
How does gender of patient influence frequency of visits?
Some patients require more attention than others, find out which ones.
Build the Analysis
DATASET
ALL Started Appointment
FIRST IN BETWEEN Started Appointment
Add customer column for Gender
ANALYZE
Increase Average Days Between Started Appointment (#)
by analyzing the influence of Age
by month and ☑️ filter data for people who can still convert
Do insured patients visit more frequently?
Some patients require more attention than others, find out which ones.
Build the Analysis
DATASET
ALL Started Appointment
FIRST IN BETWEEN Started Appointment
LAST BEFORE Updated Insurance
Add feature column for Insurance Type
ANALYZE
Increase Average Days Between Started Appointment (#)
by analyzing the influence of Insurance Type
by month and ☑️ filter data for people who can still convert
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