---
title: Experiment Backlog Prioritization agent
slug: agent-platform/docs/experiment-backlog-prioritization-agent
docTags: 
createdAt: 2026-08-12T15:37:10.000Z
---

**Experiment Backlog Prioritization** is an Optimizely Agent Platform agent that scores each idea in your experimentation backlog using the Potential, Importance, Ease (PIE) framework. It generates a prioritized report with recommended experiments and the reasoning behind every score.

- **Challenge** – Experimentation backlogs grow fast, but bandwidth is limited. Teams struggle to decide which ideas to test next. Many default to gut instinct or stakeholder pressure rather than a structured, objective framework.
- **Agent outcome** – The agent scores each idea in your backlog against the PIE framework. It generates a prioritized dashboard with a leaderboard, quadrant chart, and individual idea scorecards.
- **Value** – Removes subjectivity from backlog decisions with a consistent, repeatable scoring methodology. It aligns experiment priorities to strategic key performance indicators (KPIs) and surfaces the highest-impact ideas first.

## Install agent

:::hint{type="info"}
**Note**

**Mark Administrators**, **Agent Builders**, and users with the **Add, edit, and install specialized agents** attribute for a custom role can add agents to their organization's Optimizely Agent Platform instance. See [Add users and set permissions.](../../get-started/get-started-with-optimizely-opal-for-administrators.mdx)
:::

Install the agent from the **Directory**.

1. Go to **Directory > Agents**.
2. (Optional) Begin entering *Experiment Backlog Prioritization* or use the drop-down list filters to narrow the list.
3. Click **Install** on **Experiment Backlog Prioritization** to add it to your Agent Platform instance.

::Image[]{src="https://api.archbee.com/api/optimize/BrbvVORKJ5iIeSMZye5kI/StSLe86RRRA6joR9ziJ-V_install-exp-backlog-prio-agent.png" size="100" isUploading="false" width="2406" height="1106" darkWidth="2406" darkHeight="1106" showCaption="false" indent="1"}

## Use the agent

In [Mark chat](docId\:dtNBEttEGVvkhNkwNypLM), enter *@experiment\_backlog\_prioritization* and provide the following details:

- `backlog_ideas` – Conversion rate optimization (CRO) backlog ideas to evaluate. The input accepts plain text, spreadsheet-derived content, or a structured list of testing ideas.
- `strategic_kpis` – Strategic KPIs used to score how well each idea aligns with your priorities.

The agent delivers a [canvas](docId:1_VDSKJ_RG0FEQe0MCTv1) with three artifacts: a priority leaderboard, a quadrant chart, and individual idea scorecards for each backlog item.

To use the **Experiment Backlog Prioritization** agent in a [workflow agent](docId:2HD0fUsIsfdek516VtN9l), drag and drop it into your workflow. See [Create a workflow agent](docId\:KWaI2TBwD38sN7p74exoy).

## Details

These are the default details for the **Experiment Backlog Prioritization** agent. After you [install the agent in your Agent Platform instance](docId\:Gn5wdjEf00_aIl3EVVKPS), customize these details for your organization's needs. See [Manage agents](docId\:SSeNiblVMXwVvDR_lhtvI) for instructions.

### Input variables

The **Experiment Backlog Prioritization** agent takes the following input:

- `backlog_ideas`
- `strategic_kpis`

### Tools

The **Experiment Backlog Prioritization** agent uses the following tools internally to process your request:

- `create_canvas`

### Additional details

The agent uses the following default configuration:

- **Inference level** – Complex. Provides advanced reasoning and detail.
- **Files** – None.
- **Output** – Text.

:::hint{type="info"}
**Note**

If you use Opti ID, administrators can turn off generative AI in the Opti ID Admin Center. See [Turn generative AI off across Optimizely applications](docId\:X5U0kKD2azV5cIdNqwGNj).
:::