Troubleshooting inaccurate forecasts

Owned by Tim McCune
Last updated: Mar 24, 2015
1 min read

Problem

Customers are frequently experiencing forecasts that are highly inaccurate.

Solution

QLess uses a variety of statistical analysis algorithms to analyze your historical wait times and use them to predict your future wait times.  QLess learns from your behavior, and should get more accurate at forecasting wait times the longer you use it.

If you experience forecasts that seem highly inaccurate, there may be configuration changes that a QLess Support team member can make to help account for the specific way in which you are using QLess.  To request help with this, please create an issue at https://support.qless.com that includes the following:

  • The day and time at which this occurred
  • The queue in which this occurred
  • One or more screenshots that demonstrate the problem

Keep in mind that if the rate at which you summon customers varies frequently and/or if you are frequently summoning customers out of order, this will cause your forecast accuracy to suffer.  Wait forecasts are easiest to predict when you summon in a first-come, first-served fashion, at a steady rate.