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Mentor Recruiting Channel Effectiveness

Run the Mentor Recruiting Channel Effectiveness MicroSim fullscreen

About This MicroSim

The channel that produces the most candidates produces the fewest mentors.

An engineering meetup post generates 7 candidates in a three-week window -- more than double anything else -- and 43% of them pass the qualification trial. That is 3 mentors and 4 interviews that went nowhere. The founder's personal network generates 3 candidates and all 3 pass, because the founder already screened them informally before they applied.

Neither is better. They fail differently. Personal networks and parent referrals produce almost-certain mentors and do not scale -- a founder's contacts run out, and 3 plus 2 is not a growth strategy. The meetup post scales and costs interview time.

The practical reading: a club needing two more mentors should work its referrals. A club needing six has to post publicly and accept the screening load that comes with it. Choosing deliberately is the point; most clubs default to personal outreach until it silently stops working.

How to Use

  • Hover any bar for the exact figure.
  • The left axis counts candidates; the right axis is the percentage who pass. Read the pair within each channel rather than comparing the two colours' heights across channels.

Lesson Plan

Bloom level: Analyze (L4) -- compare

Learning objective: Given candidate counts and qualification rates across five mentor recruiting channels, the learner compares them to select an effective mix of channels for a specific recruiting need.

Before the sim (5 min). Ask how the club found its current mentors. Almost always the founder knew them, which is the constraint this chart exposes.

With the sim (10 min). Rank by candidate count, then by pass rate. The rankings nearly invert. Ask what number actually matters -- candidates times pass rate, which is mentors.

After the sim (15 min). Set a real target ("we need four more mentors by March") and design a channel mix that reaches it, including the interview hours it implies.

Check for understanding. Ask: "Why not use only the founder's network, since everyone passes?" Because it produces three people and then stops -- and naming the scaling limit rather than the pass rate is the comparison this objective wants.

Embedding This MicroSim

Paste this into any page of the book, adjusting the relative path to docs/sims/ for the page's depth:

<iframe src="../../sims/mentor-recruiting-channel-effectiveness/main.html" width="100%" height="542" scrolling="no"></iframe>

Specification

The full specification below is extracted from Chapter 34: Establishing an Oversight Board and Inventory System.

Type: chart
**sim-id:** mentor-recruiting-channel-effectiveness<br/>
**Library:** Chart.js<br/>
**Status:** Specified

Purpose: Let a board or founder compare how many mentor candidates each recruiting channel typically produces against what share of those candidates actually pass the qualification trial, so a growing club can choose channels deliberately instead of relying on personal outreach alone.

Bloom Taxonomy: Analyze (L4)
Bloom Taxonomy Verb: compare

Learning objective: Given candidate counts and qualification rates across five mentor recruiting channels, the learner compares them to select an effective mix of channels for a specific recruiting need.

Chart type: Grouped bar chart (two series per channel)

X-axis: Recruiting channel (Founder's Personal Network, Engineering Meetup Post, Employer Volunteer Program, University CS Club, Parent Referral)

Y-axis (left): Candidates generated in a typical three-week posting window
Y-axis (right, or second bar color): Percentage of those candidates who pass the qualification trial

Data series:
1. Candidates Generated (blue bars): Founder's Personal Network 3; Engineering Meetup Post 7; Employer Volunteer Program 4; University CS Club 4; Parent Referral 2

2. Passed Qualification Trial (gold bars, percent): Founder's Personal Network 100%; Engineering Meetup Post 43%; Employer Volunteer Program 50%; University CS Club 75%; Parent Referral 100%

Title: "Mentor Candidates Generated vs. Qualification Rate by Channel"
Legend: Position top-right, labeling "Candidates Generated" and "Passed Qualification Trial (%)"

Interactive features:
- Hover any bar to see its exact value and a one-sentence description of that channel pulled from this chapter
- Toggle buttons above the chart to show/hide each series independently
- Click a channel's label on the x-axis to highlight both of its bars and dim the rest

Annotations:
- Small callout near the Personal Network bars: "Smallest reach, but every candidate already carries the founder's trust."
- Small callout near the Meetup Post bars: "Largest reach, but the lowest qualification rate -- budget time for more trial sessions."

Implementation: Chart.js grouped bar chart with a dataset array holding both series; hover tooltips configured via Chart.js's built-in tooltip callback to include the one-sentence channel description.

References