Questions & answers
The Questions and answers report page displays detailed question and answer data from each user's career plan, designed for highly interactive exploration. Every visual element, including word clouds, serves as a filter, dynamically adjusting other visuals to reveal patterns and insights. The central table lists all career plan questions in their defined order, enabling users to quickly filter the dashboard and view corresponding responses, complemented by additional visuals like usage breakdowns and answer distributions.
The view of the report page containing all the visuals is presented in the following picture:
The Questions and answers report page
Visuals:
| Name | Measure | Description |
|---|---|---|
| Total questions | List of questions + number of answers for each question | Number of answers each additional review question received, listed by the question's full wording. Since the data has one row per review-question answer, a question's total is how many reviews answered it across the scope in view, and the grand total is all answers combined. It's the granular counterpart to the Question Title matrix, which rolls the same answers up to their category (Competencies, Engagement, and so on). Read the two together to move between the specific question and its category, and note it counts answers, not distinct questions or people. |
| Questions | List of questions + number of answers for each question | Number of answers each additional review question received, listed by the question's full wording. Since the data has one row per review-question answer, a question's total is how many reviews answered it across the scope in view, and the grand total is all answers combined. It's the granular counterpart to the Question Title matrix, which rolls the same answers up to their category (Competencies, Engagement, and so on). Read the two together to move between the specific question and its category, and note it counts answers, not distinct questions or people. |
| Question type usage | Count of distinct question IDs, split by answer type | Mix of question formats used across the plan templates, that is, how many questions are of each answer type (free text, rating, multiple choice, and so on). It describes how the templates are built rather than how workers responded, so it helps template designers see whether the forms lean on open text or structured inputs. A format that dominates may be worth reviewing if you want richer or more analyzable answers. |
| Total answers | count of answer IDs | Number of individual responses given to career-plan questions across all plans. Unlike # questions , which sizes the templates, this counts what people (workers + managers) actually filled in, so it reflects real engagement with the plans. Reading it against # Questions × plans shows how completely the forms are being answered; a low ratio means many prompts are being left blank. |
| Word cloud - answers from free text questions | Frequency of each word across the free-text answers (word size = how often it appears) | A visual tally of the words workers and managers typed into free-text plan questions, with more frequent words shown larger. It surfaces recurring themes in qualitative answers at a glance, without anyone reading every response. To be treated as a directional cue, not a metric: common filler words can dominate, and it shows word frequency, not sentiment or meaning. |
| Distribution of answers for multiple choice questions with drill-down | Count of chosen answer-options÷ total count of all chosen answer-options (in view), shown per question, drilling down to per answer-option | Share that each multiple-choice option represents out of all option selections, so you can see how workers answered the closed questions. At the top level bars are grouped by question; drilling into a question breaks it out by individual option, showing which choices dominate. Because it is a percentage of the total in view, filtering to a team or plan re-bases the shares to that selection, letting you compare answer patterns across groups. |
| Word cloud - answers for multiple choice questions | Count of times each answer-option was chosen, per option (word size = number of selections) | Each multiple-choice option shown as a word, sized by how often workers picked it, so the most-chosen answers stand out at a glance. It is the structured-answer counterpart to the free-text word cloud: instead of tallying typed words, it tallies option selections, so every word is a real predefined answer rather than loose text. Larger words mean more popular choices across the plans in view. |
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For more information about the visuals and metrics used in Analytics Hub, refer toVisuals in Analytics hub and Metric dictionary, respectively.