Development Targets of Quality Assurance build

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Revision as of 13:22, 16 March 2012 by Philip Lacey (talk | contribs) (Development of the QA Monitoring Program (Input))
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Quality Assurance or QA is current in development in BE.

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1 Development of the QA Monitoring Program (Input)

This process will be identical to the building of a data capture campaign.

The primary developments in this area will be:

  • Some questions and answers can be without weighting / score.
  • Questions can be grouped to provide sub / section scores.

2 Data Sources (Input)

QA consists of a number of potential input sources include:

  • Witness Systems
  • NICE
  • Nortel Quality Monitoring
  • Telstrat Call Parrot / IDVR (Integrated Digital Voice Recording)
  • Softex Ringmaster
  • and various other data formats inluding CSV and Excel.


The quality process is then applied at a call / instance level or at a case / multi-contact level.

3 List preparation (Process)

There are a number of tools and approaches required to list preparation.

Examples

  • X per agent - This filter will ensure that there is only 3 records selected per agent
  • 1 per agent / with fallback - This filter will present 1 record for grading. If the one grading fails, then a fallback is presented and the average of the 2 grades calculated.
  • Random Order - This approach will grade as many records as presented but will randomise the order of presentation to ensure that the records are not graded by graders sequentially.

Once these preparations have been applied the lists will be locked and be made available for grading.

  • Open Grading - This will allow records to be entered as required and will not require filters.

4 Grading (Process)

QA scoring is then done by either processing records loaded or adding a record to be graded.

Outcomes will manage the outputs of the system.

5 Scoring Reports (Output)

Scoring reports follow the BE format of presenting reports.

  • My : Scores on any QA that was performed on men
  • Team : Scores on any QA performed on any member in my team
  • Grouped : Filtered scores for any combination of QAs
  • All : Data output at all levels
  • Executive : Highly customised reports to summate the data into single totals