Great mentorship starts with great matches

AI-powered recommendations that help program administrators find the right pairings faster, reducing bias and improving outcomes.

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Recommendations

Up to Date
Keshaun Hamill#1

Software Engineer | Microsoft

Machine LearningDeep Learning
88
Griffin Cormier

Junior Software Engineer | Shopify

Machine LearningDeep Learning
77
Skylar Dooley

Software Engineer | Netflix

System DesignSoftware Architecture
58
Sydney Fadel

Junior Software Engineer | Apple

Machine LearningDeep Learning
58
Willie Jast

Junior Software Engineer | Google

System DesignSoftware Architecture
57
Hugh Stark

Software Engineer | Stripe

UX DesignUser Research
55

200+

matches made

3

cohorts completed

80%

positive match feedback

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Powering ProductBC's mentorship program, where Pairwise was born.

AI Recommendations

Compare candidates in minutes, not hours.

Understand the why behind every recommendation. Pairwise shows you how candidates compare with qualitative insights that surface what matters - so you spend less time digging and more time deciding.

  • AI-generated rationale explaining each match
  • Key alignment points and areas to consider
  • Suggested conversation starters for pairs

Frederique Bartell

Mentor

Keshaun Hamill

Mentee

87.97

Match Rationale

Keshaun Hamill is the best match due to his focused goals on developing data science skills, which directly align with Frederique Bartell's expertise in Machine Learning and Data Analysis. He is also looking for guidance on career development, a key area for Frederique, who aims to help others succeed and develop leadership skills.

Key Alignment Points

•Focused on data science skills aligning with mentor's expertise.
•Looking for guidance on technical growth, matching mentor's motivations.
•Both share a collaborative communication style.

Areas to Consider

•Keshaun may need more structured guidance than the mentor typically offers.
•His focus on system design might need additional emphasis from the mentor.

Conversation Starters

•How have you applied best practices in scalable application design?
•What drew you to pursuing a career in data science?
Assessment FlowDraft
START
Availability
3 questions
Individual
Engagement Readiness
6 questions
Individual
Eligible for Matching?
Checkpoint
Yes
No
Core Compatibility
7 questions
Matching
Goal - Expertise Alignment
5 questions
Matching
Professional Context
4 questions
Matching
Application Rejected
Outcome
Visual Workflow Builder

Design your program around what matters.

Define the outcomes you care about - compatibility, expertise alignment, shared context. Pairwise generates the right questions, builds scoring algorithms for each outcome, and delivers specific insights on how every applicant and pairing measures up.

Checkpoint Logic

Route applicants based on eligibility criteria with yes/no branching logic.

Outcome-Based Design

Configure assessments for Individual screening or Matching compatibility.

Duncan Schouten Portrait

Duncan Schouten

Founder, Pairwise

“I've seen firsthand how mentorship can change a career. That's why it broke my heart when ProductBC's program had to shut down — burned-out volunteers couldn't keep up with manual matching.

Pairwise brought it back. Now I'm on a mission to make sure more people get the mentorship they need.”

Duncan Schouten
President of ProductBC and Founder of Pairwise
duncan@productbc.ca

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