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RightMatch AI: Best Practices Guide

Optimize hiring with RightMatch AI: streamline evaluations, reduce bias, and enhance candidate experience for efficient recruitment.

Written by Sterling Smith

Best Practices Guide for Hiring Managers Using RightMatch AI

Updated August 2026 — now reflecting Mira, RightMatch's 2-minute automated resume review and interview invitation engine.

Welcome to RightMatch AI! If this is your first time leveraging a human-centered AI hiring platform, this guide offers proven practices to help you streamline candidate engagement, reduce bias, and improve hiring outcomes. Our approach balances technology with empathy to provide both efficiency and an excellent candidate experience.

What's new: RightMatch now includes Mira, an automation layer that reviews and scores every incoming resume against your job requirements and sends the candidate a personalized video interview invitation within 2 minutes of applying, no manual review or outreach required. The best practices below have been updated to show you how to layer human judgment on top of that automation.

1. The “Sandwich Approach” for Candidate Engagement

The Sandwich Approach is a structured, multi-step communication process that ensures clarity and sets the stage for a smooth hiring journey. With Mira, the first layer now happens automatically the moment a candidate applies, so your team's time is spent reviewing strong candidates and having great conversations, not chasing down interview scheduling.

Layer 1: Instant Resume Review & Interview Invite (Automated by Mira, Under 2 Minutes)

• Purpose: Eliminate the delay between a candidate applying and their first real touchpoint with your hiring process.

• How it works: The moment a candidate applies, Mira automatically reviews and scores their resume against the job requirements, then sends a personalized video interview invitation within 2 minutes. No hiring manager action is required for this step.

• Why it matters: Fast, automatic outreach keeps candidates engaged and prevents strong applicants from losing interest or accepting another offer while they wait to hear back.

Tip: Because this layer is fully automated, use the time it saves your team to focus on the parts of the process that need a human touch, like the logistics call and final decisions.

Layer 2: Review the AI Video Report Card

• Purpose: Once a candidate completes their 5-15 minute video interview, Mira generates a video report card summarizing their responses, score, and fit for the role.

• What to look for: Read the resume score alongside the video highlights, transcript, and recommendation, don't rely on the score alone.

• Best practice: Use the report card to shortlist candidates before investing time in a live conversation. This is where the automation hands the process back to you.

Layer 3: Logistics Call (10-15 minutes)

• Purpose: Align with a shortlisted candidate on key factors to ensure mutual fit before proceeding to the next steps.

• Topics to Cover:

  • Salary expectations and benefits

  • Relocation preferences (if applicable)

  • Career goals and professional growth aspirations

  • Timeline and availability

• End with: Referencing something specific from their Mira interview to show you've already reviewed their responses, and letting them know what happens next in the process.

Tip: Keep the call positive and professional. Even if certain logistics aren't aligned, communicating openly builds rapport and leaves a positive impression.

Layer 4: Post-Interview Follow-Up & Feedback

Candidates appreciate feedback and transparency. This step reinforces trust, encourages engagement, and ensures candidates feel valued throughout the process.

• Follow up with personalized feedback: Call or email candidates to provide constructive feedback on their interview performance.

  • Phone Feedback: For top candidates, opt for a quick 5-minute call.

  • Email Feedback: Provide written insights with actionable suggestions for improvement, if applicable.

Sample email feedback: “Hi [Candidate Name] – Thank you for taking the time to complete your video interview. We were impressed by your approach to [specific aspect]. We will be in touch shortly regarding the next steps.”

• Communicate next steps clearly:

  • If moving forward: “Our hiring manager would love to meet with you for a [next step, e.g., in-depth interview].”

  • If not proceeding: “While we won’t be advancing your application this time, we’d be happy to stay in touch for future opportunities.”

2. AI-Enhanced Hiring: Practical Tips for Success

• Let Mira handle the first pass: Trust the automated resume review and scoring to surface strong candidates quickly, then apply your own judgment when reviewing report cards.

• Create custom assessments aligned with job requirements: Tailor your video interviews to assess the skills most critical to the role. RightMatch offers customizable templates for technical, behavioral, or situational questions.

• Monitor and analyze report cards: Leverage the multi-dimensional report cards generated by Mira and RightMatch. These include transcripts, video, audio, and resume scores, offering a rich candidate profile beyond a traditional resume.

• Integrate assessments with human judgment: Use the insights from Mira and RightMatch interviews as a complement to other evaluation methods, such as reference checks and final interviews.

3. Ensure a Positive Candidate Experience

• Timely communication: Candidates value prompt feedback. With Mira responding within 2 minutes of application, your team can focus on keeping every later stage just as fast and clear.

• Emphasize fairness and transparency: Inform candidates about how RightMatch and Mira ensure an unbiased hiring process. Transparency builds trust and strengthens your employer brand.

• Maintain warm, human touchpoints: While Mira automates the first response, balancing automation with personal communication makes candidates feel valued. Small gestures, like congratulating a candidate on their performance, go a long way.

• Be clear about your use of AI from the start of the process: Letting candidates know that AI tools, including Mira, support parts of the hiring process helps them feel more comfortable.

Suggested Language (be sure to run by your own legal team):

We may use artificial intelligence (AI) tools, including Mira, to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

4. Ongoing Evaluation and Improvement

• Track metrics to measure success: Monitor key metrics such as time-to-first-interview, interview-to-hire conversion rates, candidate satisfaction, and overall time-to-hire. With Mira, time-to-first-interview should consistently land under 2 minutes, use this as a baseline to catch any drop-off in your funnel.

• Collect feedback from candidates and hiring managers: Continuous improvement is key. Use candidate feedback to enhance their experience and adjust your hiring practices for future roles.

By following these best practices, you can make the most of RightMatch AI and Mira while maintaining a human touch throughout the hiring process. This balanced approach ensures a streamlined and enjoyable candidate experience, while helping you make confident, unbiased hiring decisions, faster than ever.

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