December 2016: Case Study – 363,326,775 Observations


Yet another extensive research project is presented, specifically analyzing 363,326,775 keystrokes and mousing seconds belonging to a large population of employees. Here is live data underlying an ErgoSuite
chart analyzing seven month’s usage of ErgoSuite’s Employee Tools by a large population including a diverse spectrum of job functions:

may_overall_analysis_sized
One Picture Worth More Than 1,000 Words

Above, you’re looking at an actual ErgoSuite Enterprise chart where we’ve chosen to view Trend Lines
(Least Squares Linear Regression) which model live underlying data. Used throughout data analysis and
in mathematics, these lines represent the actual underlying data’s movement over time.

Of course, raw data is never as smooth as the trend lines because it ebbs and flows over time traversing seasonality such as reduced activity during holidays, however, the trend is clear and reliable. Linear
regression is an invaluable tool widely used for modeling trends from complex data sets.

Within this graphical report:

  • ErgoSuite is modeling live data specifically examining (1) Keystrokes, (2) Hours Keying, (3) Employee Fatigue, (4) Coaching Cues from ErgoSuite’s ErgoCoach and (5) Cue Compliance which is a measure of an employee’s adherence with coaching cues supporting an organizational best practice.

  • These coaching cues are only required when an employee’s “recovery time as a function of duration and repetition” is inadequate (high risk).

  • Each metric in the chart is indexed to its initial value, for comparability, showing its trend (growth) over the period. For example, seeing Cue Compliance grow from an index of 100 to 101 simply means its growth has been 1% from its initial monthly value and does not imply that compliance is above 100%.

  • In fact, the overall Cue Compliance for this specific population of employees was solidly within the 90%-100% range throughout the period (see chart below).

  • The average number of observations ‘per employee’ underlying ‘each’ trend line is more than 84,000 over the seven month period.

  • This employee population spans the spectrum of low, medium and higher computer-usage.

  • In addition, we know from other collected live data analyses that when employees develop new good ergonomic behaviors at work, these learned behaviors carry on after work when using the computer at home.

Good Ergonomics = Good Economics

  • The KeyIt’s easy to see in the chart how, while output is increasing over time, coaching cues are decreasing over the same time period. Here is solid irrefutable evidence of new good ergonomic behaviors forming. Employees are not “being coached less because they are doing less”. In fact, they are producing more within a lower risk profile.

The understanding key here is that employees learn to automatically take frequent short microbreaks while working to the extent that ErgoCoach recognizes this, thus reducing its operant conditioning requirement to provide coaching cues to meet the organizational best practice or standard.

Another key “take-away” here is that we can see in the data how “when a person learns to pace themselves automatically and therefore they fatigue at a lower rate, they produce higher output at a higher quality as a result”. This is key in understanding one of the ROI values in using ErgoSuite.

In fact, when you know the salaries of the people involved, you can precisely calculate the productivity impact of ErgoSuite to a high degree of accuracy rather than guess or hope that it will occur.


Good Data Propels Good Decisions

  • may_overall_risk_analysis_sized


    When looking at a prioritized Overall Risk Report analyzing current risk for an entire company, we
    can immediately see the top few employees
    out of an entire employee population who can
    benefit most by a personal touch from EH&S.


  • may_keys_mouse_analysis_sixed



    When looking at individual employees and
    their keying and mousing activity over the
    seven month period, we easily see the physical
    effort expended by employees over time.

To underscore the magnitude of the hazards of “duration, repetition and force”, consider that an average employee who typed just 1,000,000 keystrokes within the period of Sept to Apr moved their fingers the equivalent of more than 30 miles during that time period. Now that’s some effort for a sedentary workforce.

                                             May_Keys_To_Miles



  • may_microbreak_utilization_analysis_sized

    Very common with ErgoSuite, employee utilization
    of the behavioral coaching cues is consistently in the 90% to 100% range throughout the period for this population of employees.

    In simple terms, employees are utilizing ErgoCoach’s real-time behavioral coaching and reinforcement cues more than 9 out of 10 times offered.


  • may_risk_trend_analysis_sized


    Also of great interest is the Overall Risk
    measurement over the period, which has
    been reduced by 33% over just 7 months
    and is still trending downward at the end
    of the study period.

You and Your ErgoSuite Will Propel Good Outcomes

Indeed, you absolutely and effortlessly can objectively and conclusively measure both risk levels and
behavior change in office ergonomics and we’re not referring to surveys, assessments or other subjective
data.

In addition, you most certainly can empower your employees and effectively include them in taking responsibility for their behaviors and sharing in the development of a more comfortable, lower risk and
more productive experience at work.

Your ErgoSuite: Corporate-Grade Next Generation Office Ergonomics Software

  • eLearning Ergonomics Training
  • Real-time Behavioral Training
  • Microbreak & Postural Coaching
  • Workstation Assessment
  • Postural Assessment
  • Discomfort Assessment
  • Reporting and Analysis
  • Predictive Modeling
  • Risk Modeling, Trend Analysis
  • Risk Prioritization
  • Ergonomics Case Management
  • Business & Safety Logic Engines
  • Regulatory Compliance
  • Centralized Management
  • Nearly 400 Risk Metrics
  • 100% Customizable
  • Unlimited Scalability
  • Simple Implementation