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Expected Parrot

Notion
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Figma

Simulate customers with AI agents

About Expected Parrot

Expected Parrot is an autonomous research agent that designs, fields, and analyzes studies for users. It allows researchers to test ideas with AI personas and validate results with real users, all in the same workflow. Through an open framework, users can define surveys, agents, and scenarios while ensuring the transparency and editability of studies. Agent simulations are quickly generated, allowing for the exploration of responses before running a full human study. This product is ideal for researchers looking to streamline their workflows and conduct detailed analyses without excessive technical complexity.

Source: Expected Parrot official website

Key Features

Survey creation

defining custom surveys and intelligent agents

Agent simulations

rapid generation of agent populations for simulations

Human validation

comparing agent-generated results with human responses

Open framework

transparent structure for auditing, rerunning, and extending studies

Research credits

$25 in free credits for users

Sharing and collaboration

team work opportunities in a shared environment

Interaction with LLM models

connecting with multiple language models

Analysis optimization

using libraries to improve the quality of research.

Practical Use Cases

Product testing: using agents to evaluate different product versions
Market studies: conducting surveys with target populations
Theory validation: comparing agent results with research hypotheses
Starting from
Free
usage-based
Visit
API
Mobile App