Mega Logo

Quality of hire
starts with a bigger funnel.

The best hire is often the candidate you never had time to interview. Megan lets you interview a larger pool of high-quality candidates sooner—and turns every conversation into structured, evidence-backed signal.

Talk to sales
How it works

Expand access to great candidates. Then make the signal undeniable.

Mega HR improves quality of hire by helping you evaluate more top candidates early—then breaking down every interview into the moments, evidence, and decisions that matter.

Identify top signal

  • Shortlist candidates with rubric-aligned scoring
  • Surface adjacent experience that maps to the role
  • Prioritize high-signal applicants earlier

Interview more of them

  • AI interviewing removes scheduling constraints
  • Evaluate a larger pool of high-quality candidates sooner
  • Consistent structured interviews at scale

Turn interviews into signal

  • Every interview is broken into strengths, concerns, and evidence
  • Highlights tied to exact moments in the conversation
  • Insights synced back into your ATS for the whole team
AI Scoring & Shortlisting

Start with the right pool.
Not just the fastest reviewers.

Quality of hire improves when your shortlist reflects real signal—not whoever happened to be reviewed first. Megan scores every applicant against your rubric and surfaces the best-fit candidates with clear evidence.

  • Rubric-aligned scoring mapped to role competencies
  • Evidence-backed justification (what supports the conclusion)
  • Adjacent experience surfaced even when resumes use different language
AI Interviews

Interview more top candidates.
Earlier in the process.

The highest-quality hire often gets missed because teams cannot interview enough of the best candidates soon enough. Megan removes scheduling constraints so you can interview a larger pool of high-signal candidates—fast.

  • Structured AI-led interviews, 24/7 via voice or video
  • Consistent role-aware questions with dynamic follow-ups
  • More candidates evaluated without increasing recruiter load
AI interview mock
What did you build that made growth experiments easier to run across teams?
I built a reusable experimentation framework, standardized event tracking, and a shared funnel dashboard so PMs could ship tests without re-instrumenting every time.
How did you quantify impact and validate causality from those experiments?
Interview Insights

Every interview, broken down.
Only what mattered.

Once you interview more candidates, you need fast, reliable signal. Interview Insights breaks down every interview—human-led and AI-led—into strengths, concerns, evidence, highlights, and score justification. Then it syncs everything back into your ATS.

  • Highlights tied to exact moments in the conversation
  • Strengths & concerns mapped to competencies with evidence
  • Everything synced back into the candidate record in your ATS
Interview Insights
AI Hiring Manager

Keep great candidates in play.
Even after the search.

Quality improves when you re-use proven talent. Megan can re-engage past candidates, request updates, and refresh profiles—so your funnel stays high-quality over time.

  • Identify past high-signal candidates automatically
  • Follow up for updated resumes and new role preferences
  • Update candidate records back in your ATS
See it live

Grow your funnel. Raise your quality.

Interview more high-quality candidates sooner, then break down every interview into evidence-backed signal your team can trust—right inside your ATS.