Experiment Value Estimator agent
Experiment Value Estimator is an Optimizely Opal agent that generates a stakeholder-ready report with the projected annualized impact of rolling out a winning experiment variation.
- Challenge – Communicating the business impact of a winning experiment is difficult. You often struggle to translate experiment test results into concrete, stakeholder-ready numbers that justify the investment. Lift percentages and statistical significance do not map directly to revenue.
- Agent outcome – The agent generates a report with the projected annualized impact of rolling out a winning experiment variation. It takes your experiment test results (conversion rates, traffic, duration, and value per conversion) and produces a shareable projection of the revenue or business value your winning test delivers.
- Value –
- Quantifies the return on investment (ROI) of experimentation in dollar terms stakeholders understand.
- Removes the guesswork from post-experiment reporting.
- Supports confident go or no-go decisions on shipping winning variations.
- Includes an optional conservative discount factor to anchor stakeholders on a realistic, defensible number.
Required Optimizely products
Optimizely Web Experimentation or Optimizely Feature Experimentation.
Install agent
Note
Opal 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 Opal instance. See Add users and set permissions.
Install the agent from the Opal Agent Directory.
- Go to Agents > Agent Directory.
- Select Experiment Value Estimator.
- Click Install Agent to add it to your Opal instance.
If Install Agent is disabled, connect the required Optimizely products to your Opal instance first.
Use the agent
In Opal Chat, enter @experiment_value_estimator and provide the following details:
- Primary Metric Name – The primary success metric being measured. For example, Form Success, Add to Cart, Trial Signup.
- Conversion Unit – What each conversion is called in plain English. Used in labels and share blurbs. For example, lead, signup, order, subscription, conversion.
- Variation Visitors – Number of visitors exposed to the variation during the test (not total experiment traffic). For example, 139795.
- Control Conversion Rate – Conversion rate for the control, entered as a percentage value. For example, 2.73 means 2.73% (not 0.0273).
- Variation Conversion Rate – Conversion rate for the variation, entered as a percentage value. For example, 2.87 means 2.87% (not 0.0287).
- Statistical Significance – Statistical significance / confidence level, entered as a percentage. For example, 93 means 93%.
- Duration in Days – Number of days the experiment ran. For example, 319.
- Value Per Conversion – Dollar value of a single conversion, entered as a number (no $ sign or comma). For example, 70 for $70 per lead.
- (Optional) Conservative Discount Factor – Conservative haircut applied to the annualized projection, entered as a percentage. Reduces the headline projected annual value by this amount. For example, 10 means project 90% of the calculated annual value (a $1,000,000 annualized projection becomes $900,000). Default is 0 (no discount).
The Experiment Value Estimator agent generates a stakeholder-ready HTML impact report in a canvas, showing observed incremental value, projected annual impact, confidence analysis, and copy-ready share blurbs for Slack and email.
To use the Experiment Value Estimator agent in a workflow agent, drag and drop it into your workflow. See Create a workflow agent.
Details
These are the default details for the Experiment Value Estimator agent. After you install the agent in your Opal instance, customize these details for your organization's needs. See Manage agents for instructions.
Input variables
The Experiment Value Estimator agent takes the following input:
- Primary Metric Name
- Conversion Unit
- Variation Visitors
- Control Conversion Rate
- Variation Conversion Rate
- Statistical Significance
- Duration in Days
- Value Per Conversion
- (Optional) Conservative Discount Factor
Tools
The Experiment Value Estimator agent uses the following tools internally to process your request:
- create_canvas
- reasoning_step
Additional details
The agent uses the following default configuration:
- Inference level – Pro. Provides maximum reasoning depth.
- Files – None.
- Output – Text.
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 applicationsTurn generative AI off across Optimizely applications.