Recruitr
AI-Assisted Participant Finder for Research Teams
Overview
Problem
Product and design teams spend hours manually sourcing potential users through surveys, social media, or customer lists when developing new products. The process is slow, often leads to unrepresentative samples, and limits the team's ability to gather meaningful insights quickly.
Solution
Recruitr is an intelligent participant search platform that accepts natural language queries and automatically finds suitable participants. It combines lexical (BM25) and semantic (SBERT) search with Reciprocal Rank Fusion, generates personalized outreach messages using AI, and provides a fast, scalable alternative to manual participant sourcing.
Impact
- •Reduces participant sourcing time from hours to seconds
- •Provides explainable match reasons with quality labels for each result
- •Generates personalized query recommendations based on user behavior
- •Automates outreach email generation with AI
- •Implements full information retrieval pipeline with 1,250+ lines of custom code
Example Scenario
Imagine a productivity software company preparing to launch a new project management tool. The team enters a simple prompt into Recruitr:
"We're releasing a lightweight task management app for small startup teams. Find me users who currently work remotely, use tools like Trello or Asana, and manage 3–10 teammates."
Recruitr then:
- 1.Searches and ranks participants in its database based on relevance to the description
- 2.Displays a ranked list of potential candidates including details like roles, experience, and preferred tools
- 3.Suggests outreach messages for inviting them to participate in interviews
- 4.Generates optional interview questions tailored to the product type and audience, such as: "What challenges do you face when managing multiple tools at once?" and "Which features make a project management app worth switching to?"
In a single workflow, Recruitr helps product teams go from prompt to ready-to-interview participants. This makes user research faster, more scalable, and accessible to teams without dedicated research staff.
Key Features
AI Agent Project Creation
Describe your research goal and the AI agent automatically creates a project, runs searches, and organizes everything for you.
Natural Language Search
Search using plain English queries with personalized suggestions based on your search history.
Project Organization
Keep all your research structured in projects with automatic tracking of searches, participants, and outreach.
Hybrid Retrieval System
Combines BM25 and SBERT search with smart field weighting (3x role, 2x tools) for accurate matching.
Explainable Results
See why each participant matches with clear quality labels.
AI Outreach Generation
Bulk generate personalized recruitment emails using Gemini AI.