> For the complete documentation index, see [llms.txt](https://herd-security.gitbook.io/herd-security-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://herd-security.gitbook.io/herd-security-docs/trainings/getting-started-with-trainings/individualized-trainings.md).

# Individualized Trainings

How Herd builds a light learner profile for each person from their recent training completions, and how that profile shapes delivery.

## What Changed

Per-training adaptation (rewriting a training's pass criteria for each learner) was part of the free-form conversational training format, which has been retired: every training now runs as one guided, step-by-step conversation, and the **Objectives** tab and its **How this adapts per person** panel are no longer part of the training page. Existing trainings were converted to steps.

Individualization now happens around the training rather than inside it: Herd builds a light **learner profile** for each person and uses it to time delivery and reminders, and learners can still ask HerdAI questions mid-training and get answers grounded in the current step (see [Questions Mid-Training](/herd-security-docs/trainings/getting-started-with-trainings/create-training-with-ai.md#questions-mid-training)).

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## Learner Profiles

Herd can also build a light **learner profile** for each person — inferred from their recent training completions (no new tracking), covering how they pace themselves, when they train, how quickly they start, and how they handle knowledge checks.

{% hint style="info" %}
**Learner profiling is enabled per organization by Herd** and is off by default. Contact your Herd representative to turn it on.
{% endhint %}

When it's enabled:

* **Admins** see a **How they learn** card on a user's **Trainings** tab, with four traits: **Pacing**, **Time of day**, **Time to start**, and **Knowledge checks** — each based on that person's recent completions. Traits a person has corrected themselves are marked "said so themselves."
* **Employees** can ask the Herd bot in Slack or Teams what it has observed about how they learn, and correct it — corrections are recorded alongside (never overwriting) the observed value.
* **Delivery adapts** — a person's preferred time of day can shift queued training sends *later* within your business-hours window (never earlier, and never outside the window), and overdue-training reminders pace themselves to how quickly the person usually starts: quick starters are reminded a business day sooner, slow starters a day later. Your configured reminder cadence is otherwise unchanged.