> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dacard.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Team scoring

> Create teams, onboard members, and track composite product maturity.

> [!NOTE]
>
> Orgs auto-provision by email domain. Onboard your team, assign roles, score multiple products, and read composite analytics across the portfolio.

# Team scoring

We support multi-product orgs with team-based scoring, composite analytics, and portfolio-level intelligence. This page covers setting up your team and getting the most from collaborative scoring.

## Creating a team

Teams auto-provision by email domain. When you sign up with a work email, you join (or create) the org tied to that domain.

**1. Sign up with your work email**

Use your company email at registration. We pull the domain and match you to an existing org (or create a new one).

**2. Name your org**

The first user from a domain becomes admin and can set the org display name under **Settings > Account**.

**3. Add products**

Create products from the dashboard. Each product needs a URL and display name. Products are shared across all team members.

## Onboarding members

Any team member can onboard colleagues. New members default to the **Member** role.

**1. Share the sign-up link**

Anyone who signs up with the same email domain joins your org automatically. No invite code needed.

**2. Assign roles**

Admins can promote members to higher roles from **Settings > Members**. Available roles: Member, Lead, Executive, Admin.

### Role permissions

| Role | Score | Create products | Manage members | Billing | Suite analytics |
| - | - | - | - | - | - |
| **Member** | Yes | No | No | No | No |
| **Lead** | Yes | Yes | No | No | Yes |
| **Executive** | Yes | Yes | No | Yes | Yes |
| **Admin** | Yes | Yes | Yes | Yes | Yes |

> [!TIP]
>
> Roles follow a hierarchy. You can't assign a role higher than your own or modify users who outrank you.

## Composite team scores

When your team scores multiple products, we compute **composite analytics** that surface patterns across your portfolio.

### Portfolio average

The portfolio average is the mean score across all products in your org. A single number to track over time and benchmark against peers.

### Dimension heatmap

The suite view shows a heatmap of all 27 dimensions across all products. Easy way to spot:

* **Systemic strengths:** dimensions where your entire portfolio reads well
* **Systemic weaknesses:** dimensions consistently low across products
* **Outliers:** products that diverge from the portfolio pattern

### Score timeline

Track how your portfolio average moves month over month. Each re-score updates the timeline, surfacing whether your investments are paying off.

## Portfolio analytics

Access portfolio-level intelligence from the **Suite** page (Lead role or above).

> **Suite intelligence**
>
> Cross-product dimension analysis, cluster identification, and surfaced reads on your portfolio's maturity patterns.

> **Dashboard**
>
> All products with latest scores, deltas from previous runs, and quick access to individual reports.

### What suite intelligence surfaces

* **Cluster analysis:** groups dimensions into Foundation, Market Position, Execution Engine, and Outlier categories
* **Systemic patterns:** dimensions strong or weak across your entire portfolio
* **Cross-product reads:** observations about how your products compare and where collective investment lands the highest impact
* **Score deltas:** track move or regression per product between runs

## Practice

* **Score on a cadence.** Re-score products monthly to track trajectory and catch regressions.
* **Score before and after.** Run a baseline before major initiatives. Re-score after to measure the move.
* **Use adapters.** Connected tools (GitHub, Linear, Slack) provide operational ground truth that tightens scoring accuracy and confidence.
* **Review as a team.** Share suite analytics in product reviews to align on priorities.

> [!WARNING]
>
> Scoring costs credits. Each URL score costs 10 credits. Monitor usage under **Settings > Usage** and bump to Pro for higher limits.

## What's next

> **[Connect adapters](https://docs.dacard.ai/knowledge-base/integrations.md)**
>
> Tighten scoring accuracy with operational ground truth.

> **[Plans and billing](https://docs.dacard.ai/knowledge-base/plans-billing.md)**
>
> Compare plans and manage your subscription.


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