About Mentorship Programs

Mentorship programs are the foundation of MentorNeko. As an administrator, you design and manage programs that bring mentors and mentees together, define the structure of those relationships, and use AI-powered matching to create the best possible pairings. This article explains how programs are organized and what each setting controls.

Program Types

MentorNeko supports two program models, and choosing the right one shapes everything from enrollment to match lifecycle.

Always-On Programs

Always-on programs run continuously without a fixed end date. New members can join at any time, and matching cycles run on an ongoing basis. When a match concludes, participants can choose to re-enroll and be matched again. This model works well for large member pools, ongoing professional development, and communities where members join year-round.

Fixed Cohort Programs

Fixed cohort programs have a defined start date and end date. Enrollment is open for a window before the program begins, and once the end date passes, no new enrollments are accepted. All active matches wind down together at the close of the cohort. This model is ideal for structured training programs, leadership academies, or any scenario where you want a shared beginning and end point for participants.

Session Cadence

Each program has a session cadence, which sets the expected rhythm of mentor-mentee meetings. Common options are weekly, biweekly, and monthly. The cadence drives the session guide structure and determines when the platform sends session reminder emails and check-in prompts.

Each session in the program has a corresponding session guide you author, with discussion questions and preparation prompts for that specific meeting. Members can also take shared session notes directly inside the platform.

AI Matching

When you run a matching cycle, MentorNeko's AI engine evaluates every eligible mentor-mentee pair across multiple profile dimensions: skills, goals, seniority, department, availability, and any custom dimensions your organization has configured.

The engine produces a ranked list of recommended pairings with a match rationale for each one. That rationale explains, in plain language, why the AI believes two people are a strong fit. You review those recommendations in the Shadow Approval Queue and decide which matches to approve, reject, or override.

Matching is always admin-controlled. The AI ranks candidates; you make the final decision.

Mentor Capacity Management

Mentor capacity operates on two levels to prevent overburdening your experienced members.

Global capacity is set on each mentor's profile (between 1 and 3 active mentees). This is a platform-wide limit that applies across all programs simultaneously.

Per-program capacity is configured for each mentor's enrollment in a specific program. This lets a mentor who has a global limit of 3 allocate only 1 slot to a particular program, reserving the rest for others.

When you approve a match and a mentor is at capacity on either level, the platform will alert you. You can use an admin override when circumstances warrant it.

Networking Programs

In addition to mentorship, MentorNeko supports networking programs. These are structured around brief, rotating introductions rather than ongoing mentoring relationships, and are designed for peer connection and community building. Networking programs follow a similar setup flow but use networking rounds rather than numbered sessions.

Program Lifecycle

Every program starts as a draft. You build out the session guides, configure matching settings, and set the program details before anyone can see it. When you are ready, you publish the program, which makes it visible in the member directory and opens enrollment.

From there:

1. Members enroll and complete their profiles.
2. You run a matching cycle and review AI recommendations.
3. Approved matches become active and participants receive an introduction email.
4. Sessions progress through the program's cadence.
5. Matches conclude when the program duration ends or the final session is completed.
6. For fixed cohorts, the program winds down and exits surveys are triggered across all active matches.