Generate detailed team reports to track behavioral trends
The Reporting page lets you compare many Profiles quickly. By default, all available Profiles are included. Use Filter to narrow the dataset by Tag or by DISC letter style (e.g., DI, SC).
Changes to filters update every section of the page so you’re always looking at the same cohort.
Reading order: Start with the DISC distribution to understand team makeup, scan the AI debrief for themes, then use the tables to pinpoint who drives those patterns.
The DISC Makeup table shows the percentage of the selected team that falls into each DISC domain:
First letter – % of team where this letter is the leading style (e.g., “D” in DI).
Contains letter – % of team where this letter appears anywhere in the style (e.g., “S” in SC).
Single letter – % of team whose style is defined by this single letter (e.g., pure C).
This gives you a quick view of team composition, answering questions like:
Which style is most common?
How evenly distributed are the four letters?
Do we have gaps or overrepresentation in certain styles?
Use case: A leader may check if a roster skews toward S and C types (steady, precise operators) versus D and I types (fast-paced drivers and influencers).
Directly beneath the table, Playbook AI analyzes the entire group at once.
Pulls from all DISC, Focus, and Core data of the filtered Profiles.
Highlights team-level patterns, strengths, and risks.
Notes contrasts (e.g., “some very outgoing, others reserved”) and convergence points (shared values or tendencies).
Surfaces cultural tone and how the group may respond under stress.
The narrative is written in plain language and includes highlighted keywords for quick scanning (e.g., Dominance, Influence, Steadiness, Correctness).
The Team Debrief supports cohorts of up to 40 profiles. The debrief won’t be generated for larger cohorts as the resulting analysis is overly broad and generalized, lacking actionable insight.
The DISC Style Summary provides a table and comparison tools for analyzing DISC scores across multiple Profiles. It’s the most interactive section of the Reporting page.
Table view: Each row is an individual Profile, showing:
Letter style (e.g., SC, DI, IC)
Domain scores for Dominance, Influence, Steadiness, Correctness (0–100 scale)
Averages row: Displays team-wide averages at the top.
Highlight extensions: Toggle on/off to flag extreme scores:
Roster planning: Compare two or three candidates visually before making a decision.
Role fit: Check how one person’s style balances or contrasts with the team average.
Cohort analysis: Apply filters for subsets (e.g., “all incoming freshmen”) and review their distribution.
Use Highlight Extensions to catch potential outliers quickly. A very high D (90+) paired with a very low S (10–) will behave differently than someone with balanced scores.
The Core Values Summary table compares what motivates each Profile in the selected group. It displays the top five values for every individual, side by side, as well as a calculated set of Team Values at the top.
Team Values row – Aggregates the most common motivators across the selected Profiles, giving you a snapshot of shared priorities.
Individual rows – Each Profile is listed with their first through fifth values in order of importance.
The Focus Summary table shows how each Profile scores across the five Focus domains and their six underlying facets. Because this is a large dataset, the section uses tabs to help you view one domain at a time.
Tabs for each domain: Flexibility, Organization, Communication, Understanding, Stability
Averages row: Displays team-wide averages at the top
Individual rows: Each Profile’s domain score plus all six related facet scores
Highlight extensions: Toggle on/off to flag extreme facet scores
A team with consistently high Stability facets may stay calm and resilient under stress.
A single individual with very high Innovativeness but very low Prudence may generate ideas rapidly but need structure to follow through.
Use the table for pattern recognition—look for clusters (e.g., several individuals with high Communication facets) that shape team dynamics.
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Because this is a large dataset, the section uses `,_jsx(_components.strong,{children:`tabs`}),` to help you view one domain at a time.`]}),`\n`,_jsxs(_components.ul,{children:[`\n`,_jsxs(_components.li,{children:[_jsx(_components.strong,{children:`Tabs for each domain:`}),` Flexibility, Organization, Communication, Understanding, Stability`]}),`\n`,_jsxs(_components.li,{children:[_jsx(_components.strong,{children:`Averages row:`}),` Displays team-wide averages at the top`]}),`\n`,_jsxs(_components.li,{children:[_jsx(_components.strong,{children:`Individual rows:`}),` Each Profile’s domain score plus all six related facet scores`]}),`\n`,_jsxs(_components.li,{children:[_jsx(_components.strong,{children:`Highlight extensions:`}),` Toggle on/off to flag extreme facet scores`,`\n`,_jsxs(_components.ul,{children:[`\n`,_jsx(_components.li,{children:_jsx(_components.strong,{children:`0–10 = very low`})}),`\n`,_jsx(_components.li,{children:_jsx(_components.strong,{children:`90–100 = very high`})}),`\n`]}),`\n`]}),`\n`]}),`\n`,_jsx(Heading,{level:`4`,id:`navigating-the-tabs`,children:`Navigating the tabs`}),`\n`,_jsxs(_components.ul,{children:[`\n`,_jsxs(_components.li,{children:[_jsx(_components.strong,{children:`Flexibility:`}),` Creativity, Aesthetic Appreciation, Emotional Awareness, Innovativeness, Intellectual Curiosity, Open-Mindedness`]}),`\n`,_jsxs(_components.li,{children:[_jsx(_components.strong,{children:`Organization:`}),` Self-Belief, Systemization, Responsibility, Goal-Oriented, Discipline, Prudence`]}),`\n`,_jsxs(_components.li,{children:[_jsx(_components.strong,{children:`Communication:`}),` Friendliness, Sociability, Leadership, Vigor, Adventure-Seeking, Cheerfulness`]}),`\n`,_jsxs(_components.li,{children:[_jsx(_components.strong,{children:`Understanding:`}),` Trust, Integrity, Generosity, Teamwork, Humility, Compassion`]}),`\n`,_jsxs(_components.li,{children:[_jsx(_components.strong,{children:`Stability:`}),` Composure, Temperance, Optimism, Confidence, Self-Control, Resilience`]}),`\n`]}),`\n`,_jsxs(_components.blockquote,{children:[`\n`,_jsx(_components.p,{children:`Switching tabs does not reset filters, only the dataset you’re viewing.`}),`\n`]}),`\n`,_jsx(Heading,{level:`4`,id:`how-to-use-this-section-3`,children:`How to use this section`}),`\n`,_jsxs(_components.ul,{children:[`\n`,_jsxs(_components.li,{children:[_jsx(_components.strong,{children:`Spot extremes quickly:`}),` Use Highlight Extensions to identify individuals with standout strengths or gaps.`]}),`\n`,_jsxs(_components.li,{children:[_jsx(_components.strong,{children:`Compare individuals vs. averages:`}),` Look at the team average to see where one person may be unusually high or low.`]}),`\n`,_jsxs(_components.li,{children:[_jsx(_components.strong,{children:`Drill down domain by domain:`}),` Tabs keep the view manageable. Focus (no pun intended) on one area before moving to the next.`]}),`\n`,_jsxs(_components.li,{children:[_jsx(_components.strong,{children:`Combine with other tables:`}),` Check whether high/low Focus facets align with DISC or Core Values for deeper insights.`]}),`\n`]}),`\n`,_jsx(Heading,{level:`4`,id:`examples-2`,children:`Examples`}),`\n`,_jsxs(_components.ul,{children:[`\n`,_jsxs(_components.li,{children:[`A team with consistently high `,_jsx(_components.strong,{children:`Stability`}),` facets may stay calm and resilient under stress.`]}),`\n`,_jsxs(_components.li,{children:[`A single individual with very high `,_jsx(_components.strong,{children:`Innovativeness`}),` but very low `,_jsx(_components.strong,{children:`Prudence`}),` may generate ideas rapidly but need structure to follow through.`]}),`\n`]}),`\n`,_jsxs(Tip,{children:[`Use the table for `,_jsx(_components.strong,{children:`pattern recognition`}),`—look for clusters (e.g., several individuals with high Communication 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