> For the complete documentation index, see [llms.txt](https://ascend-labs-1.gitbook.io/ascend-labs-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ascend-labs-1.gitbook.io/ascend-labs-documentation/overview/some-of-our-favourite-features.md).

# Some of our favourite features

{% hint style="info" %}
**Ascend tip:** What are the first two things out of an athletes mouth after they finish an isometric test?

1. How big is the number?
2. Is the number bigger than last time?

&#x20;With our app, you can instantly answer these questions and visually communicate the long term trend.
{% endhint %}

## Intuitive data visualisation

#### Instant Trend Reports

After completing a test, the trends screen for that athlete is one tap away. Identify performance trends in seconds.

#### Asymmetry and strength profiles

With the power of tags, visualise the difference between limbs and track strength in different ranges of motion.

#### Show RFD visually

Overlay multiple force-time curves and visually compare rate of force development. Metrics are meaningless to athletes. **Show them** the difference. This part steep = good.

<figure><img src="/files/14b10Yc1zyX0CPelRbLq" alt=""><figcaption></figcaption></figure>

## Flexible onset detection

We've got three different methods of onset detection for you to choose from

#### Automatic (BETA)

Our algorithm finds the point of inflection and pinpoints the onset point.

#### Manual / Visual&#x20;

Use the slider to manually select the perfect onset point.

#### Threshold

Use a custom force threshold to determine onset point.

<figure><img src="/files/tPjMbNT5i1pIhT6zvAQG" alt=""><figcaption></figcaption></figure>
