Difference between revisions of "News:LibSat Opportunity Index now includes filtering by Context"

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The Opportunity Index (OI) report now includes filtering by any context question within the LibSat survey(s) and produces for the filtered group of respondents, i.e., those that responded with the selected context option, a ranking of each aspect of service by OI measure indicating the greatest opportunities to improve overall customer satisfaction within that group of respondents. The report also provided drill-downs to all the comments provided by these respondents.
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The Opportunity Index (OI) report now includes filtering by any context question within the LibSat survey(s) to produce results for the filtered set of respondents, i.e., those responding with the selected context option(s). Filtering options have always been available to view the OI for any selected Time period, Region, and/or Location. The generated OI ranking indicates the aspects of service with the greatest opportunity to improve overall customer satisfaction for the selected (filtered) set of respondents. The report also provides drill-downs to the comments provided by those respondents.
  
The Opportunity Index (OI) is a report that effectively shows which aspects of library service if improved would realize the greatest increase in overall customer satisfaction.  The report presents a ranking from greatest to least opportunity and shows the OI score for the library’s Overall Importance and Satisfaction as the baseline, highlighted with a <span style="color:white; background-color:pink;">&nbsp; Pink Background &nbsp;</span>. Any improvement made to the aspects of service above this baseline are more likely to impact overall satisfaction, while anything below would have less impact on overall satisfaction.
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The Opportunity Index (OI) is a an interactive report that enables the user to rank the OI for each aspect of service.  High OI ranking means that improving that aspect of service is more likely to result in a greater improvement in overall customer satisfaction.  The report presents a ranking of aspects of service from highest to lowest OI and includes the OI for the Overall Importance and Satisfaction as a baseline [highlighted with a <span style="color:white; background-color:pink;">&nbsp; Pink Background &nbsp;</span>.] Improvements in any aspect of service above this baseline are more likely to impact overall satisfaction, while improving anything below the baseline will have less impact on improving overall satisfaction.
 
   
 
   
Filtering options provide views of the OI for any selected start Month, by Region, by Location, and by any context question found in the question set. The report also provided drill-downs to all the comments provided by all respondents within the scope of the set filters.
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The OI is based on the following formula:
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Importance + (Importance-Satisfaction) = Opportunity 
  
The algorithm to generate the OI is based on the following formula:
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An OI score is calculated for each respondent and for each question that includes Satisfaction and Importance components.  Please note that (Importance - Satisfaction) can never be less than zero (0) i.e., high levels of satisfaction beyond the stated level of Importance, do not diminish the overall opportunity, and thus, there are instances where some responses are not included in the calculation of the overall OI score.
Importance + (Importance-Satisfaction) = Opportunity.
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The formula is calculated for each question that includes the Satisfaction and Importance scaled question parts and is calculated individually for each respondent. It is important to note that (Importance - Satisfaction) can never be less than zero (0) in this algorithm, and these instance are not included in the calculation. In other words, high levels of satisfaction do not detract from importance.  
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The overall OI scores are calculated by averaging the total of each individual respondent's OI scores. The resulting OI scores are then ranked and displayed in the <span style="color:white; background-color:#003366;">&nbsp; Blue Background &nbsp;</span>. The number of respondents is shown for your reference, as well as the average Overall Importance and average Overall Satisfaction scores. Note that the OI score cannot be reproduced by using the overall average Importance and Satisfaction since these scores are the average of the Importance scores and Satisfaction scores for all respondents for each question, some of which may have been discarded (i.e., whenever respondents Importance – Satisfaction is less than 0.)
  
The overall library OI scores are calculated by averaging the individual respondent OI scores for each question. The resulting OI scores are then ranked and displayed in the <span style="color:white; background-color:#003366;">&nbsp; Blue Background &nbsp;</span>. The number of respondents is shown for your reference, as well as the average Overall Importance and average Overall Satisfaction scores. Note that the OI algorithm cannot be reproduced by using the overall average Importance and Satisfaction since these scores are the average of the Importance scores and Satisfaction scores for all respondents for each question, some of which may have been discarded from the OI algorithm for the individual respondent if Importance – Satisfaction was less than 0.
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[[Category:Announcements]]

Latest revision as of 16:06, 29 October 2012

The Opportunity Index (OI) report now includes filtering by any context question within the LibSatLibrary Customer Satisfaction Management Service survey(s) to produce results for the filtered set of respondents, i.e., those responding with the selected context option(s). Filtering options have always been available to view the OI for any selected Time period, Region, and/or Location. The generated OI ranking indicates the aspects of service with the greatest opportunity to improve overall customer satisfaction for the selected (filtered) set of respondents. The report also provides drill-downs to the comments provided by those respondents.

The Opportunity Index (OI) is a an interactive report that enables the user to rank the OI for each aspect of service. High OI ranking means that improving that aspect of service is more likely to result in a greater improvement in overall customer satisfaction. The report presents a ranking of aspects of service from highest to lowest OI and includes the OI for the Overall Importance and Satisfaction as a baseline [highlighted with a   Pink Background  .] Improvements in any aspect of service above this baseline are more likely to impact overall satisfaction, while improving anything below the baseline will have less impact on improving overall satisfaction.

The OI is based on the following formula: Importance + (Importance-Satisfaction) = Opportunity

An OI score is calculated for each respondent and for each question that includes Satisfaction and Importance components. Please note that (Importance - Satisfaction) can never be less than zero (0) i.e., high levels of satisfaction beyond the stated level of Importance, do not diminish the overall opportunity, and thus, there are instances where some responses are not included in the calculation of the overall OI score.

The overall OI scores are calculated by averaging the total of each individual respondent's OI scores. The resulting OI scores are then ranked and displayed in the   Blue Background  . The number of respondents is shown for your reference, as well as the average Overall Importance and average Overall Satisfaction scores. Note that the OI score cannot be reproduced by using the overall average Importance and Satisfaction since these scores are the average of the Importance scores and Satisfaction scores for all respondents for each question, some of which may have been discarded (i.e., whenever respondents Importance – Satisfaction is less than 0.)