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As a Principal Recruiter at Read AI, I’m always looking for ways to streamline my workflow and create a better experience for both candidates and hiring teams. In our fast-paced environment, efficiency and clarity are essential.
Recruiting in a high-growth startup is both exciting and demanding. The pace is relentless as open roles evolve quickly, hiring priorities shift, and competition for top talent is intense. Coordinating with multiple stakeholders, from founders to interview panels, means managing dynamic feedback and tight deadlines.
Traditionally, gathering and organizing input from interviews was a manual, fragmented process, and that was true even when HR software launched tooling to consolidate the details. Notes were still scattered across emails and documents, making it difficult to synthesize insights or ensure alignment with job requirements. Important context could be lost between conversations, and following up often meant sifting through disparate sources. As interview volume increased, so did the risk of missing critical details or duplicating efforts.
Read AI has naturally become a cornerstone of my recruiting process, helping me overcome longstanding challenges and raise the bar for our hiring practices.
Read AI captures detailed notes during recruiting calls, allowing me to fully engage with candidates without worrying about missing key points. It transcribes and organizes conversations in real time, so I can focus on building rapport and asking insightful questions. After the call, I review the transcript, highlight action items, and share relevant excerpts with hiring managers.
Coordinating feedback from multiple interviewers is much easier with Read AI’s Search Copilot.
As a first step, I ask all interview panelists to share their meeting reports with me. That way, when I ask Search Copilot for consolidated feedback on what was discussed, sentiment around each call, and identified next steps, it aggregates insights from all panel members. It also searches the conversations we may have had about the candidate in messaging channels and emails, so I can quickly search for candidate competencies and concerns across all communications in an instant. This ensures that I immediately understand every perspective and patterns or discrepancies in feedback are surfaced in an instant.
To ensure timely and relevant feedback, I provide interviewers and hiring managers with the following prompt for their Meeting Report: “Please write interview feedback for this candidate and consider the job description.” In just a few seconds, we get precisely the information I need to identify next steps, as the information surfaced is always aligned with our internal discussions about the role and what we’re seeking in a candidate. This makes the process more efficient and ensures our evaluations are consistent and focused on what matters most.
Search Copilot then synthesizes input from diverse sources. I can ask it to summarize strengths and areas for development identified by the interview panel, creating a clear, concise overview for decision-making. This synthesis is invaluable when presenting candidates to hiring managers or leadership, ensuring decisions are informed by a holistic view of the candidate’s performance.
A key part of my role is ensuring that interview feedback is tied directly to the requirements of the position. As a last step, I prompt the system to cross-reference panel feedback with the job description, highlighting where candidate responses align with or fall short of key criteria. This improves the rigor of our evaluation process and provides a clear rationale for hiring decisions.
“Using Read AI during interviews means that I can fully focus on the candidate and our conversation instead of worrying if I am taking clear enough notes and potentially missing parts of what the candidate is saying. It really helps improve the candidates interviewing experience by keeping the focus on them. Then Search Copilot quickly summarizes the conversation so I can give feedback immediately after the interview.”
- Bill Johnson, Director of Engineering, Read AI
Read AI has fundamentally changed how I approach recruiting by automating note-taking, centralizing and synthesizing reactions, aligning evaluations with job requirements, and streamlining the collection of timely, structured feedback. It empowers me to work more efficiently and make better-informed decisions.
In an environment where every hire is critical, these capabilities are indispensable.
Read AI automates note-taking, centralizes and synthesizes reactions, aligns evaluations with job requirements, and streamlines the collection of timely, structured feedback.
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