- Survey settings
- 360 feedback display settings
- 360 feedback display labels
- 360 feedback display configurations
- 360 feedback introductory text
- 360 feedback - show hide question logic
- 360 feedback - skip logic
- Custom Marker and Building Block
- Scorecard customization
- 360 Surveys- Rich Content Editor
- 360 Surveys- Priority Model
- 360 Surveys- Presentation Text
- Track and Display Subject Actions
- Multi Level Priority Logic
- Workforce integration platform
- Slack integration
- Google apps integration
- Office 365 integration
- SSO SAML
- Single sign on
- UltiPro Integration
- Workforce Webhooks
- Calabrio Integration
- Response Gamification
- HRIS Integration
- Show/hide Markers and Building blocks
- Show Hide Favorability
- Export data from current survey
- Portal Notifications
- QxBot in 360-degree reports
- ADP Integration
- Time Trend Widget
- Survey questions as filters
- Text Analysis Widget
- Bulk employee upload
- Add employees manually
- Portal theme
- Portal Access
- FTP Sync
- Ability to share portal details
- Search Option for Participants in the Roster
- Unique Identifier
- Track Email Delivery Status in EX
- Benchmark
- Workforce Framework Multilingual
- AHRQ Raw Data Setup Screen
- Agreement percentage in benchmark
- Single Question Widget
Driver Analysis- Workforce
It’s important to identify and understand the drivers of key business outcomes, such as customer satisfaction or loyalty, in order to improve processes and maximise performance and profitability.
For example: If you wish to understand “How satisfied your employees are with their jobs?”, you would need a key factor and all the related metrics in order to find the analysis for this specific aspect.
Hence the key driver analysis feature can be used to address such sort of questions. That will help you find the agreemental, neutral and the disagreement percentage related to that selected question.
On clicking driver analysis menu, correlation for eNPS questions (if available) and few random questions will be populated by default against all the marker, building block and measures.
Once metric is selected coefficient of correlation is displayed against each markers, bulding blocks and questions. The correlation coefficient values calculated are in the following ways:
- Coefficient color codes are defined based on minimum coefficient and max coefficient
- The range of maximum coefficient - minimum coefficient is divided into 3 scale for each color code, where lowest scale is marked as red and highest scale is marked as green.
- Correlation coefficient between 0.4 to 0.49 : Marked in Red
- Correlation coefficient between 0.5 to 0.59 : Marked in Yellow
- Correlation coefficient between 0.6 to 0.7 : Marked in Green
For example, consider minimum coefficient is 0.4 and maximum coefficient is 0.7 then
To view the Driver Analysis, please go to Framework Survey >> Analytics >> Driver Analysis
You can edit the default driver analysis view and add/remove metrics as per the requirement.
To edit driver analysis:
- Click on the edit option, all the column will become editable. You can replace the column with other metrics or delete the column.
- Click on the column and search for other metrics(marker, building block and measures) to replace the default metric
- To add new column, click on "Add Column". You can search for the metirc and add it in your driver analysis
You can also apply filters on the driver analysis to view data of specific group
