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Everything you need to run mentorship at scale

From AI matching to executive reporting — MentorStack handles the complexity so your people can focus on the conversations that matter.

Core Features

Built for program administrators

Every feature is designed around the real work of running a mentorship program — not just the happy path.

PAIR Matching Engine

AI-powered matching across 5 dimensions ensures every pair has the right foundation. No more random assignments or spreadsheet luck.

AI Copilot

Every session gets smarter with AI-generated prep, summaries, goal suggestions, and engagement alerts. Your participants show up prepared.

Mentoring Formats

1:1 mentoring, group mentoring, Circles (peer groups), and reverse mentoring — run any format, or mix them, within a single program.

Goal Tracking

Participants set goals, break them into milestones, and track progress over time. Admins get a real-time view of program-wide outcomes.

Analytics & Reporting

Real-time engagement, satisfaction, and outcome data in the admin dashboard. DEI analytics, cohort metrics, and scheduled reports for leadership.

MCP Server

Claude, ChatGPT, and any MCP-aware AI assistant can query your program data natively — no custom integrations required.

PAIR Matching Engine

The right match changes everything

Bad matches waste everyone's time. PAIR uses AI to score compatibility across five dimensions — so every pairing has a meaningful foundation from day one.

  • SkillsCurrent skills vs. development gaps
  • GoalsCareer goals and growth trajectory
  • SeniorityExperience level and mentoring style
  • AvailabilityScheduling compatibility and time zone
  • DEI FitCross-functional diversity scoring

5

matching dimensions

Skills, goals, seniority, availability, and DEI fit — scored together to surface the pairs most likely to succeed.

Admins can review and override any suggested match before it goes live.

AI Copilot

AI that works in the background

The AI Copilot doesn't replace the mentoring relationship — it supports it. Participants spend less time on logistics and more time on the conversations that drive growth.

  • Meeting prep briefs tailored to the agenda
  • Automated session summaries after each meeting
  • Goal suggestions based on mentee profile and progress
  • Skill gap analysis comparing profile to career goals
  • Engagement alerts when participation drops

MCP Server

For AI assistants

MentorStack ships a native MCP server. Claude, ChatGPT, and any MCP-aware AI assistant can connect directly to your program data — no custom integrations, no exports.

"Which mentors have the most available hours this month?"
"Show me mentees who haven't logged a session in 3 weeks."
"Summarize goal progress for the Q2 cohort."

Complete Feature Set

Everything included

No feature gating on what matters. Advanced reporting and custom branding on Growth+.

PAIR Matching Engine
1:1 Mentoring
Group Mentoring
Circles (Peer Groups)
Reverse Mentoring
AI Copilot
Meeting Prep Briefs
Session Summaries
Skill Gap Analysis
Engagement Alerts
Goal Tracking
Milestone Management
Progress Tracking
Meeting Scheduling
Meeting Notes
Completion Tracking
In-App Messaging
DEI Analytics
Diversity Scoring
Demographic Metrics
Cohorts
Milestone Surveys
Growth Portfolio
Admin Dashboard
Real-Time Engagement Data
Satisfaction Metrics
Scheduled Reports
Custom Branding
MCP Server
GDPR Compliance
Data Export & Deletion
SAML SSO
Role-Based Access

FAQ

Common questions about features

How does PAIR matching work?
PAIR (Personalized AI Ranking) scores every potential mentor-mentee pair across five dimensions: skills alignment, career goals, seniority match, scheduling availability, and DEI fit. Each dimension is weighted and scored, then combined into a compatibility score. Admins review suggested matches and can override any pairing before it goes live.
Does MentorStack support multiple mentoring formats?
Yes. MentorStack supports four formats: 1:1 (classic pairing), Group (one mentor with multiple mentees), Circles (peer groups with no designated mentor), and Reverse (junior employee mentors a senior). You can run multiple formats simultaneously within a single program.
What AI features are included?
MentorStack includes an AI Copilot that generates pre-session prep briefs, automated post-session summaries, goal suggestions based on mentee profile, skill gap analysis, and engagement alerts when participation drops. The platform also ships a native MCP server so AI assistants like Claude and ChatGPT can query your live program data directly.
How does goal tracking work?
Participants set goals at the start of a mentoring relationship and break them into milestones. Progress is tracked over time and visible to both participants. Admins get a program-wide view of goal completion rates, making it easy to identify pairs that need support.
What admin reporting is available?
Admins have a real-time dashboard showing match rates, session frequency, goal completion, engagement scores, and satisfaction survey results. Growth plan users can export data and schedule automated reports for leadership. DEI analytics are available as an aggregate-only overlay to protect participant privacy.

Start your free pilot

Up to 10 users. No time limit. No credit card required.