> ## Documentation Index
> Fetch the complete documentation index at: https://support.profilebehavior.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Reporting
> Generate detailed team reports to track behavioral trends
export const ArcadeReportingCompare = () => {
return
;
};
export const ArcadeReportingFilter = () => {
return
;
};
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.
## How to use Reporting
1. Open **Reporting** from the left navigation.
2. (Optional) Click **Filter** near the top of the page:
* **Tags:** Include only Profiles with the selected tags.
* **DISC letter styles:** Include only the chosen styles (e.g., DI, SC).
3. Review the sections from top to bottom (distribution ➜ AI debrief ➜ tables) to move from **overview** to **detail**.
Create and apply meaningful tags (e.g., `Fall Recruiting 2025`) before running comparisons so you can isolate cohorts with one click.
## Sections at a glance
**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.
### DISC Makeup
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).
***
### Playbook AI — Team Debrief
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.
***
### DISC Style Summary
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:
* **0–10 = very low**
* **90–100 = very high**
#### Compare mode
1. Select up to 10 Profiles in the table.
2. Click **Compare**.
3. A line graph appears, plotting each selected Profile across the four DISC domains.
This allows for **side-by-side visual comparison** of individuals, making it easy to spot differences and similarities.
#### Apply as filter
* After selecting one or more Profiles, click **Apply as filter**.
* This narrows the **entire Reporting view** (including AI debrief, Core Values, and Focus Scores) to only those Profiles.
* Useful for ad hoc subgroups that don’t have a dedicated Tag.
#### How to use this section
* **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.
***
### Core Values Summary
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.
#### How to use this section
* **Spot common drivers:** Check the Team Values row for themes that shape group culture.
* **Identify alignment/misalignment:** Compare individual values against team values to see who is highly aligned versus who may need unique support.
* **Pairing and coaching:** Use the second and third values to fine-tune how someone stays engaged beyond their top motivator.
* **Role fit:** Ensure high-priority values (e.g., *Advancement, Integrity*) align with role expectations and team environment.
#### Examples
* A team where **Freedom** and **Integrity** show up consistently may thrive on autonomy and ethical clarity.
* An individual with **Economic Security** as their top value may prioritize stability, which can shape how they evaluate opportunities.
* Someone with **Achievement** or **Power** in their top five may be especially driven by competition and leadership chances.
Use this table alongside the **DISC Style Summary** to see how motivation (why someone acts) aligns with behavior (how they act).
***
### Focus Summary
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
* **0–10 = very low**
* **90–100 = very high**
#### Navigating the tabs
* **Flexibility:** Creativity, Aesthetic Appreciation, Emotional Awareness, Innovativeness, Intellectual Curiosity, Open-Mindedness
* **Organization:** Self-Belief, Systemization, Responsibility, Goal-Oriented, Discipline, Prudence
* **Communication:** Friendliness, Sociability, Leadership, Vigor, Adventure-Seeking, Cheerfulness
* **Understanding:** Trust, Integrity, Generosity, Teamwork, Humility, Compassion
* **Stability:** Composure, Temperance, Optimism, Confidence, Self-Control, Resilience
> Switching tabs does not reset filters, only the dataset you’re viewing.
#### How to use this section
* **Spot extremes quickly:** Use Highlight Extensions to identify individuals with standout strengths or gaps.
* **Compare individuals vs. averages:** Look at the team average to see where one person may be unusually high or low.
* **Drill down domain by domain:** Tabs keep the view manageable. Focus (no pun intended) on one area before moving to the next.
* **Combine with other tables:** Check whether high/low Focus facets align with DISC or Core Values for deeper insights.
#### Examples
* 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.