How To Optimize Your Attribute Templates When Forecasting

Learn of some example ways teams are customizing the attribute templates that are used for a forecast

Use Case 1: Optimize For Certain Building Footprints

Set up multiple attribute templates that mirror your new typical footprints moving forward:

  • 1st Example: Freestanding site with a drive thru that is 2500 square feet
  • 2nd Example: Inline location without a drive thru with no pickup window with smaller square footage of 1500

Use Case 2: Optimize For Operational Metrics

For teams who have included operational metrics in their attributes, set up settings that mirror an above average operator if the plan to is to onboard franchisee who perform operationally above your historical site average. Below are some examples of the types of operational metrics that have been used by teams historically:

  • OSAT
  • Speed Of Service
  • Operating Hours
  • Manager Certification Ratings
  • Google/Yelp Reviews

Use Case 3: Optimize For Certain Maturity Period

Set up settings that mirror a certain maturity period for your forecast. Below are some examples of maturity settings that have been used:

  • Average Of Full Portfolio (typical recommendation as default setting)
  • 12 Months (1 year forecast)
  • 36 Months (3 year forecast)
  • 60 Months (5 year forecast)

In addition to making changes to these kinds of attribute settings in templates, for any single forecast we would recommend that your team continue to further specify other settings that may differ from the template for each specific build scenario.

By ensuring that you have the most accurate attribute settings, you will also be able to ensure that the forecast generated matches as close as possible to what would be projected when accounting for those specific unique changes.