Records

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A record of past Splash! information and statistics can make planning future Splash! events easier. We will see trends in growth that can help estimating current needs.

The Table

Date # of Students Financial Aid Revenue Cost Classes Teachers Teacher Registration Student Registration
Nov 2nd-3rd, 2013 ~1500 $40/$20 sibling 271 296
Apr 13th-14th, 2013 ~1800 $40/$20 sibling 329 348
Nov 3rd-4th, 2012 1505 $40/$20 sibling 254 277
Apr 21st-22nd, 2012 ~1600 $40/$20 sibling 343 374
Oct 29th-30th, 2011 ~1400 $40/$20 sibling 305 321
Apr 16th-17th, 2011 1450 $45,000 $40/$20 sibling 346 359
Nov 13th-14th, 2010 1141 134 $36,127 $40/$20 sibling 255 262 Sept 10th-Oct 20th Oct 25th-Nov 10th
Apr 17th-18th, 2010 929 $27,126 $40/$20 sibling 215 209 Feb 22nd - Apr 2nd Apr 5th - Apr 14th
Oct 10th-11th, 2009 730? $25,679 $40/$20 sibling 208 189
Apr 4th-5th, 2009 630 $24,318 $40/$20 sibling 180 171
Oct 18th, 2008 439 ~50 $7,610 $20 106 108
Apr 5th, 2008 280 ~4 $5,520 $20 60 <80

food ordered tickets sold shirts ordered

Statistics

Relevance

There are three reasons a statistic will be tracked (every statistic will fall under just one):

  • A means of tracking our success
  • A means of planning operationally
  • Answers to the questions that everyone asks

These are listed in order of importance. More effort and earlier effort will be given to the the statistics that are higher on the totem pole. From a user interface design, high priority statistics will be - more often than not - mandatory and/or requested of the user before non-essential statistics.

Organizational

For organizational purposes, there are four types of metrics (every statistic will fall under just one):

  • Concerning all Splash programs
  • Concerning the entire program, most commonly just one value
  • Concerning time slots
  • Concerning subject

Identification of Statistics

The following is a collection of statistics, the categories they fall under, debate, and resolution:

  • Total number of approved unique classes
  • Total number of approved sections
  • Total number of scheduled classes
  • Total number of unscheduled


  • Total number of student accounts that have proceeded to the "register for a specific Splash" screen
  • Total number of student accounts that have at least one class
  • Total number of student accounts that have hit the confirm registration button
  • Total number of student accounts that showed up for Splash
  • Total number of student accounts that completed the student survey
  • Total number of student accounts that returned for the next splash


  • Average class hour per student
  • Standard deviation of class hour per student
  • Mean class hour per student


  • Saturday lunches for student accounts that have at least one class
  • Sunday lunches for student accounts that have at least one class


  • Total number of teacher accounts that have proceeded to "teach for a specific Splash" screen
  • Total number of teacher accounts that have one class registered
  • Total number of teacher accounts that show up to teacher training
  • Total number of teacher accounts that taught at least one class at splash
  • Total number of teacher accounts that returned for the next splash


  • Total classes by time slot
  • Total number of first hour classes
  • Total student hours per time slot

Degradation points

The inability to consolidate duplicate accounts or merge accounts causes enough of a problem that metrics will be greatly off.