Fill Your Cohort in 90 Days With a Two-Person Team

A two-person admissions office can still fill a cohort in 90 days — if it stops doing everything by hand

You do not need a bigger team. You need to stop the two people you have from spending their days on work a chatbot can do, and put every human hour into applicants actually close to enrolling. This plan splits 90 days into three 30-day phases — audit, activation, conversion — with a weekly task list, a table of what humans should touch versus what gets automated, and tactics specific to Canadian colleges, private career schools and universities working a shrinking calendar.

Assumption: it is late July or August, the cohort is short, and the fall or January intake is fixed with no budget for a third hire. Sector-wide enrolment pressure tracked by Universities Canada means most small admissions offices run this exact math every cycle.

Days 90–61: audit and triage — find out what is actually salvageable before you touch anything

Do not launch a new campaign in week one. Spend the first 30 days finding out which prospects in your CRM are worth working and which are dead weight — a two-person team that works every prospect equally will run out of hours before it runs out of applicants.

Week 1 — pull the funnel apart by stage

List every prospect in your CRM by stage: inquiry, started application, submitted application, invited to open house, attended, offer sent, deposit paid. Count how many are stuck at each stage and for how long. The national drop-off is steep at every step: 91% of website visitors never make first contact, 64% of first contacts never start an application, 42% of applications never turn into an open house signup, 35% of open house registrants never show up, 28% of attendees never submit a complete file, and 18% of complete files never convert to a final enrolment — for an overall visit-to-enrolment conversion of just 0.8%. If your numbers land near this range, the problem is the funnel, not the program. Whichever stage is worst versus these benchmarks is where the two people spend week two.

Week 2 — triage the CRM into three piles

Split every open prospect record into three groups:

1. Work now — inquired or applied in the last 45 days, responded to at least one outreach attempt, fits the program's admission profile.
2. Dormant, worth one attempt — inquired 45–180 days ago, no response yet, but downloaded a viewbook, attended a fair, or came through a high-intent channel (program-name search, a referral).
3. Cut — inquired more than 180 days ago with zero engagement, wrong fit, or already enrolled elsewhere.

Do not work pile three. This is the single highest-leverage call in the first 30 days: a team that tries to "not waste a prospect" by calling everyone gives the same six minutes to a five-month ghost as to yesterday's inquiry. Cut the dead weight and reinvest the hours in piles one and two.

Week 3 — find where your own process is losing prospects

Walk your own inquiry-to-application path as a prospective student would: fill out the contact form and time what happens next. Contact form inquiries take a median of 72 hours to get a response, email 47 hours, while a chatbot answers in 3 seconds around the clock; phone gets picked up only 34% of the time even at a fast 3 minutes 20 seconds average. Two people cannot staff a phone line or inbox 24/7 — that is the case for automating first response before week four.

Week 4 — decide what you will NOT do this cycle

Write down the tactics you are skipping: a website redesign, a CRM migration, a paid social campaign built from scratch, every fair in the province. A team that tries all of it finishes week 12 having done none of it well. Pick the two or three channels with the best signup-to-attendance economics and commit the remaining hours there.

Days 60–31: activation — automate first response, reactivate dormant prospects, run one tightly scoped push

Once the CRM is triaged, the goal of the middle 30 days is a chatbot or automated sequence handling first response and basic qualification, so the two admissions staff only pick up conversations that are genuinely close to a decision.

Automate first response before you reactivate anyone

Turn on a website chatbot that answers program, tuition, deadline and admission-requirement questions immediately, qualifies the prospect (program, intended intake, current stage), and routes judgment calls — a transcript review, a scholarship exception, a program transfer — to your two staff. This addresses the biggest leak in the funnel: schools running an AI chatbot cut the visit-to-first-contact drop-off from 91% to 76%, a 167% increase in effective first contacts for the same traffic — prospects already paid for, previously lost to a slow reply, now captured without adding headcount.

Reactivate the dormant pile with a specific reason to respond

For pile two, send a short message tied to something concrete: an approaching deadline, a supplementary offer window, a new bursary, an invitation to a smaller info session. Route replies through the same chatbot-first workflow. Treat anything above 8–12% reactivation as a good result for a cold list, and do not chase prospects who skip a second attempt.

Run one open house or info session push, not three

Pick a single acquisition push for this phase and route registration through the highest-converting channel available. Chatbot-driven signups convert three to four times better than most alternatives: chatbot on the school site converts registrants at 18.4%, against 6.2% for a contact form, 4.8% for an email campaign, 3.7% for paid social and 2.1% for organic social. By week eight, staff time should be almost entirely on prospects the chatbot has already qualified; still manually answering "what are your tuition fees" at that point means the automation step was skipped.

Days 30–0: conversion sprint — cut no-shows, apply yield management, protect the team

The final 30 days convert the prospects already in the pipeline — reducing open house no-shows, moving offers to deposits faster, and running the sprint without the two-person team burning out.

Cut open house no-shows with automated, personalized follow-up

No-show rates are driven almost entirely by follow-up quality, not prospect intent. No follow-up: 52% no-show. Email-only: 38%. SMS-only: 31%. Personalized chatbot follow-up: 19%. Chatbot-plus-SMS combo: 14%. A reminder naming the prospect's specific program: as low as 11%. Set up an automated sequence — confirmation, a reminder 48 hours out, a same-day nudge — and reserve personal staff time for prospects flagged high-intent.

Apply yield management once offers go out

Treat every stage between offer and deposit as manageable, not fixed. Set a deposit deadline with real urgency, follow up personally with admitted students who have not responded, and use a supplementary or late-offer round — the mechanism most Ontario colleges publish through ontariocolleges.ca — to fill remaining seats from your qualified-but-not-yet-offered pool instead of a fresh campaign. For deeper tactics, see our guide to yield management for student enrolment.

Protect the two-person team in the final stretch

A sprint that runs two people at full intensity for 30 straight days produces mistakes in the final week, when stakes are highest. Split the load: protected time blocks per person, a rotation for evening and weekend chatbot escalations, and treat the chatbot's qualification and reminder work as infrastructure, not something skipped when busy. A tool that complements the two staff by absorbing repetitive volume makes the sprint survivable; a tool they have to babysit adds work instead.

How to split 90 days between two people and automation

Judgment calls stay with the two humans; everything repetitive moves to the chatbot. Here is the split by phase:

That last row reflects a consistent pattern in chatbot deployment data: most prospect questions are repetitive, and only a small share genuinely need a person.

What a two-person team should NOT attempt in a 90-day window

Be explicit about trade-offs, because the instinct under pressure is to try everything at once.

• Do not rebuild the website or migrate CRM platforms mid-sprint — the disruption costs more than it recovers.
• Do not run more than one or two acquisition channels at once; a scattered push across paid social, organic social, email and print spreads two people across four half-executed campaigns instead of one well-run one.
• Do not personally call every dormant prospect; the reactivation message and chatbot qualification exist so staff time goes only to prospects who respond.
• Do not promise capabilities you have not deployed — a chatbot configured in an afternoon and billed as "handles everything" will escalate more, not less.

The result of doing this well

None of this requires new headcount — the ceiling on what a lean team can recover is set by the funnel, not by ambition. Institutions combining faster first response with fewer open house no-shows and disciplined triage see qualified prospect volume move from roughly 120 to 195 per month (+62%), cost per qualified prospect down about 38%, and a median 280% return over 12 months. These come from institutions running chatbot deployments alongside funnel optimization — not a guarantee, but a realistic order of magnitude for a two-person team in one admissions cycle.

For the full-year version of this plan, see our 12-month admission campaign timeline for private schools; to audit your funnel first, start with our student recruitment funnel audit guide. For the broader strategy, see how to recruit more students in higher education.