Improve Benchmarking Analysis
Users are now able to map their interview topics to their own data model to take advantage of the full power of their data and are able to improve benchmarking analysis over time.
What It Can Do For You
A data model maps the topics in your interview to a broader framework so you can is continually assess and monitor progress overtime (including benchmarking). By default, the platform maps your interview topics to the the 9Lenses data model. However, beginning this week, users can fully customize and control their data models to realize the following benefits:
- Create your own data models and map interviews so you can collect data against your proprietary framework and control benchmarks across engagements. Customize the display of your Data Explorer visualizations by grouping related topics together in the data model.
- Map related interviews to your data model to generate thought leadership and framework-driven insights overtime.
- Analyze data collection at the framework level to identify any gaps in your content repository or areas where the data indicates indicates focus is needed. Mapping topics to a framework highlights which questions and topics in your framework capture the richest data or whether you need to ask your questions in a different way.
For example, a user with a HR Business Assessment or IT Infrastructure Assessment maps their interview to a data model, every time they launch that interview, the results will automatically benchmark against previous engagements.
How it Works
Using the 9Lenses Data Model:Your interview will map to the 9Lenses model by default. If you would like to customize how your topics map to the 9Lenses model, ask your 9Lenses Customer Success contact to help you map your interview to the most relevant components of the 9Lenses framework.
Change to Another Existing Data Model:When creating your interview select “change data model” in the lower right hand corner and choose from existing models. You may then map individual topics to the appropriate model node.
Creating Your Own Data Model: To create a new data model, navigate to “libraries” and “data models.” Here you can select from existing models or simply create your own. The data model designer contains an intuitive builder where you can create your model and drag, and drop to create your desired hierarchy. The saved data model will then appear in the list of available options when creating your interview.
Learn how to improve benchmarking analysis by requesting a demo here.