In this article
Key updates include:
StoryTeller:
Advanced Analytics Object:
A new object type named Advanced Analytics appears in your StoryTeller toolbar.
You can choose your DCM test, apply filters, and pick the visualization output.
Two DCM Outputs
Relative importance by attribute: Shows which attributes in your DCM test carry the most weight in decision-making.
Average preference by level: Displays how respondents prefer each level within an attribute (e.g., price point vs. brand name).
Both outputs are shown as bar charts and need separate objects if you want to compare them side by side on a single StoryTeller slide.
DCM Calculations:
In-Memory Required
You must enable In-Memory in your project for these DCM visuals to work.
Part-worth utilities and preference ranges are largely calculated in Forsta Surveys (Decipher), then imported to Forsta Visualizations.
Relative Importance by Attribute
Uses average ratio for levels from your imported DCM data and applies any filters you set.
The chart reflects the aggregated ratios indicating each attribute’s importance.
Average Preference by Level
This requires additional internal calculations in Forsta Visualizations, also respecting filters.
Involves averaging part-worth values by attribute and then rescaling to show the final ratio for each level.
CrossTable Tool:
Projects often contain multiple Weight or Date variables, but only a specific one should be presented to report users.
Selectable Weights in CrossTable
You can decide which weight variables are visible to end users and which one is default.
Uncheck any weight variables you don’t want included, and ensure one remains set to “default.”
Selectable Dates in CrossTable
You can now limit which Date variables appear.
All date variables are enabled by default; allowed to turn off if not needed, and choose a default date to display in the CrossTable.
Project Administration:
Scheduled Task Overview
A new page centralizes all your project import tasks to give you a clearer picture of your account’s automation:
-
Aggregated Task Counts
Total number of import tasks
Number of active tasks
Number of successful tasks
Number of failed tasks
Number of not started tasks
Number of inactive tasks
-
Task Details Table
The aggregated counts is a table showing each individual task and give you a simple way to track performance across multiple projects at a glance. It also shows:
Data source used by each task
Last execution date and status
Next execution date