---
title: Peer productivity
slug: peer-productivity
docTags: 
createdAt: 2025-04-03T08:16:01.655Z
---

This page provides an overview of your team’s overall performance.

:::BlockQuote
**Path:** Team Management ▶︎ Productivity Insights ▶︎ **Peer Productivity**
:::

## 1. Controls & Filters

- **Time Interval** 
  Select any date range. By default, shows the last 7 days (daily granularity).
- **Projects**
  Filter metrics to one or more projects.
- **Request Type ** 
  Filter by request category.
- **Task Type**
  Choose between Annotate, Correct, Review, or All.
- **Task Category**
  Choose between Production, Training, or Demo.

## 2. Annotate speed

:::BlockQuote
**Note:** “Annotation Points” is a project-level metric. See our [Annotation Points & Targets](https://docs.kognic.com/annotation-points-and-target) guide for details.
:::

The speed of which the user producers Annotation points while active in a annotation task.

:::hint{type="info"}
Points are not generated for review tasks but only when objects are added in correction tasks. This is by design.
:::



Points are only generated during annotation/correction, not in pure review tasks.

### 2.1 Target

The speed target accounts for the fact that annotators don't spend all their tool time on annotation — approximately 10% goes to review tasks and 5% to corrections. The effective target is adjusted by a factor of 1.3× so that 100% productivity reflects realistic performance given this workload mix.

### 2.2 Average Performance Over Time

Focus on your long-term average—tasks vary in complexity, so balance productivity with quality.

***

## 3. Quality

Estimate data quality (%) in the **Quality** column:
 **Quality = 100 − (feedback items / reviewed objects × 100)**

Higher **Tasks Reviewed** increases confidence in the estimate.

**Example**
 100 objects produced, 20 issues found → Quality = **80%**

Use Quality only to monitor sustainable pace—it’s not a precise QA metric.

:::hint{type="info"}
This is a metric that will not be used for purposes other than ensuring that you are working at a sustainable pace. 
:::

***

## 4. Working Time

### 4.1 Working Time Column

Shows Stopwatch-reported time.
 If no Stopwatch data, displays annotation time with a red \* and disables productivity %.

### 4.2 Time Allocation

Ratio of annotation time to total working time:

| Ratio     | Indicator   |
| --------- | ----------- |
| ≤ 0.70    | 🔴 Too Low  |
| 0.70–0.75 | 🟡 Border   |
| 0.75–0.85 | ⚪️ Optimal  |
| 0.85–0.90 | 🟡 Border   |
| ≥ 0.90    | 🔴 Too High |

***

## 5. Objects and Shapes Produced

These columns show how many objects the user has created during the selected timespan. This might be a negative number if: 

- The user is doing **Correction tasks** and removing objects
- The user is doing **Review Tasks** and is removing objects
- The user started the day by removing objects from a scene started on a previous day, and the timespan only accounts for today. 

See [Objects and Shapes](https://docs.kognic.com/key-concepts#IFnby) for details.