Custom Metrics in Dashboards

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Questions and Answers

Within the Qualtrics CX Dashboards environment, if a custom metric's equation is flagged as invalid due to the presence of a red triangle alert, which of the following represents the most probable underlying cause, assuming all mapped fields are validated?

The custom metric attempts to reference metadata attributes of the dataset (e.g., data quality scores, processing timestamps) instead of quantifiable field values.
The equation contains an unsupported recursive function or an unoptimized series of iterative calculations that exceed the system's computational threshold.
The dashboard's data mapping has become desynchronized with the underlying data source schema, leading to type mismatch errors during equation evaluation.
The equation includes syntactical errors such as adjacent metrics lacking mathematical operators or the inclusion of unsupported mathematical constants. (correct)

In the context of Qualtrics CX Dashboards, what is the implication of enabling the 'Ignore Breakouts' option during the configuration of a custom metric, particularly when applied to a dataset segmented by distinct demographic cohorts?

It enforces a stratified sampling approach, ensuring each demographic cohort is proportionally represented in the custom metric's calculation, mitigating potential bias from uneven sample sizes.
It decouples the custom metric calculation from any applied dashboard filters, ensuring the metric reflects the entire dataset's aggregate behavior irrespective of user-defined segmentation.
It calculates the metric based on the total number of responses across all cohorts, disregarding cohort-specific segmentations, which is beneficial for deriving overall percentage-of-total metrics. (correct)
It dynamically adjusts the weighting of each response based on its associated cohort size, effectively normalizing the influence of smaller cohorts and amplifying the contributions of larger ones.

When implementing a Subset Ratio metric within Qualtrics CX Dashboards, particularly for Brand Experience (BX) projects, what specific condition must be satisfied regarding the compatibility of numerator and denominator fields to ensure accurate ratio computation?

Both the numerator and denominator fields must originate from the same question within the survey instrument to maintain referential integrity and avoid spurious correlations.
Both the numerator and denominator fields must be numeric or have numeric recode values, accommodating numeric values, number sets, text sets, and multi-answer text sets recoded as numeric. (correct)
The numerator field must be a multi-select question type, allowing respondents to choose multiple options, while the denominator field must be a single-select question type representing total awareness.
The denominator field must represent a statistically significant subset of the numerator field to adhere to principles of proportional representation and minimize potential inflation of the ratio.

In the context of Qualtrics CX Dashboards, how do custom metric filters interact with page-level and widget-level filters, and what implications does this interaction have on data analysis?

Custom metric filters operate independently, overriding both page-level and widget-level filters, allowing analysts to isolate specific data segments irrespective of broader dashboard settings. (A) Signup and view all the answers

When configuring a Subset Ratio metric within Qualtrics CX Dashboards for a Brand Experience project analyzing imagery attributes, what is the most critical consideration for selecting the denominator field and its data?

The denominator field should represent the total number of people aware of the brand, and the data chosen should align with the same brands selected in the numerator, enabling accurate proportion calculation. (B) Signup and view all the answers

Within the Qualtrics ecosystem, if a user duplicates a CX Dashboard containing numerous custom metrics, what is the expected behavior concerning the availability and functionality of these metrics in the newly created dashboard?

The custom metrics are duplicated along with the dashboard structure, remaining confined to the new dashboard and its copies, thus preserving their definitions and calculations without affecting other dashboards. (B) Signup and view all the answers

Given a scenario where a Qualtrics user intends to visualize the proportion of customers who attribute a specific sentiment (e.g., 'trustworthy') to a brand within a CX Dashboard, which methodological approach offers the most direct and computationally efficient means of achieving this objective?

Leveraging a subset ratio metric to directly represent the proportion of respondents associating the specified sentiment with the brand, using sentiment mentions as the numerator and total respondents as the denominator. (D) Signup and view all the answers

When transitioning from legacy Qualtrics survey projects to CX Dashboards, what critical step must be undertaken to ensure custom metrics referencing survey questions maintain data integrity and analytical coherence?

Re-establish the mapping between survey questions and corresponding fields within the CX Dashboard environment, validating data types and ensuring alignment with the new schema to preserve metric accuracy. (B) Signup and view all the answers

Within the Qualtrics CX Dashboard environment, how does the system manage and interpret null or missing values when calculating custom metrics, particularly those involving arithmetic operations (e.g., division) that could result in undefined results or skewed outputs?

The system propagates null or missing values through the calculation, resulting in a null or missing value for the custom metric, effectively excluding the affected responses from the analysis. (A) Signup and view all the answers

In the context of a Qualtrics program encompassing both CX and EX Dashboards, what inherent limitation exists regarding the portability of custom metrics between these distinct dashboard environments, and what strategies can be employed to mitigate this constraint?

Custom metrics are inherently bound to the data schemas of their respective dashboard types (CX or EX), necessitating a manual re-creation and validation process when migrating metrics across environments, which can be expedited through scripting. (D) Signup and view all the answers

Flashcards

Custom Metrics

Custom metrics allow you to build equations using one or more data fields within a dashboard to create a single, combined metric.

Creating Custom Metric

To start creating a custom metric, navigate to dashboard settings, then Custom metrics, and click 'Add custom metric'.

Building Metric Equation

When building a custom metric equation, start with an existing field from your dataset by clicking 'Metric'. A count metric is added by default.

Ignore Breakouts

Ignore Breakouts calculates the metric relative to the total responses rather than responses for a particular breakout, useful for percent of total metrics.