Example execution pack
This is a saved public example of an Edge Arena execution pack. It shows the same structure a user receives after a run, using the prompt: “Pick the best next step for my growing in-person tutoring business. Context: - Single physical location at full capacity - 38 active students, weekly waitlist of 12–18 families - Steady revenue, healthy margin, owner pays self normally - All current students attend in-person; brand is local Options on the table: - Open a second physical location 4 miles away - Launch an online program for out-of-market students - Both (parallel) - Neither — raise prices instead Constraints: - One owner, no investor capital, willing to take a modest loan if needed - Cannot afford to break the existing center's economics - Decision must be made within the next 30 days for lease timing Focus on: - Defensible payback math (real numbers, not vibes) - Risk to the existing center - Brand fit and what parents already trust about the business - The right time horizon (12-month and 36-month outlook both)”
Saved example artifact • Your own pack will reflect your goal, launchpad, and constraints
Executing:
Open a Second Tutoring Location
Use this pack like a working document — review, validate, then execute.
Second physical location 4 miles away, 11-month payback.
Selected from 13 ideas • Winner score 79
Open a second physical location in a target zip code 4 miles from the current center, prioritizing geographic moat over digital expansion. Payback math: 11-month break-even on a $48k buildout, +$14k/month additional revenue at year-end.
If you execute consistently, you could clarify this decision in ~14 days.
boltStart here - first steps
Lock the lease in the target zip code within 30 days so the second location is operational before the start of the next academic year.
Confirm the target zip code via waitlist address analysis - which zip codes account for ≥60% of the waitlist?
~2 hours
Tour 3-5 commercial spaces in the target zip code with a real-estate broker.
1–2 days over the next 2 weeks
Build the lease economics model: 12-month and 36-month revenue, costs, and break-even sensitivity.
One evening
Why This Won
01. Execution Plan
Sign the lease, complete the buildout, hire the lead tutor.
- 1.Confirm target zip code via waitlist analysis.
- 2.Tour 3-5 commercial spaces; select on size, parking, neighborhood fit, and lease terms (not on a "great deal" - fit matters more).
- 3.Sign 24-month lease with 12-month renewal option.
- 4.Complete buildout - 4-6 weeks for furniture, signage, networking, instructional materials.
- 5.Hire the lead tutor for the second location at least 6 weeks before opening.
Second location operationally ready, lead tutor in place, total spend ≤$48k.
Buildout overruns at small tutoring centers typically run 15-25% over the original budget. Plan the budget against $54k, not $48k.
Hire the lead tutor from inside the existing center if possible - culture transfer is the single biggest predictor of second-location success.
Soft-open with the existing waitlist before broad marketing; ramp to 50% utilization in 90 days.
- 1.Invite the existing waitlist to the second location by personalized email and phone call.
- 2.Convert 60-80% of the waitlist into enrolled students at the second location.
- 3.Run a small parent-info evening for non-waitlist neighborhood families in month 2.
- 4.Track utilization weekly against the 50% / 70% / 90% milestone curve.
Second location at 50% utilization by month 3, 70% by month 6, with the existing center's utilization unchanged.
A ramp that lags the 50% milestone by more than 4 weeks is a brand-fit signal, not a marketing problem. The fix is operational (lead tutor, schedule) more often than promotional.
Resist broad marketing in the first 90 days. The waitlist plus word-of-mouth from converted waitlist families is the right channel; broad marketing dilutes both.
Reach 70%+ utilization at the second location and re-evaluate the year-2 strategy in month 12.
- 1.Hit 70% utilization at the second location by month 6.
- 2.Stabilize hiring at 2 part-time tutors per location.
- 3.In month 12, re-run the decision: third location, online program, or hold.
- 4.Document the year-1 economics for use in the year-2 decision.
Second location at 80%+ utilization, full payback at month 11, year-2 decision made on actual year-1 data.
A second-location operator who skips the year-2 decision review almost always opens a third location prematurely. The year-1 numbers are the only honest input.
Do not commit to a third location before month 12 even if year 1 looks fantastic. The year-1 numbers contain growth-spike effects that don't persist.
02. Validation Signals
Existing waitlist of 12-18 families weekly - most weeks, more than the new-location capacity could absorb in month 3
Direct, repeated demand from local families is the strongest possible signal for incremental supply, far stronger than industry data.
Limitation: Waitlist sentiment can be soft. Verify with a "would you commit to a second location 4 miles away?" email before signing the lease.
Tutoring spend per household grew 12% in 2024 and is structurally up post-pandemic (Sallie Mae household spending data, 2024)
Macro tailwind supports the demand signal - the waitlist is not a fluke of a single school year.
Limitation: Aggregate data includes test prep and college tutoring, which is not the operator's segment.
The decision rests heavily on the waitlist signal being durable. The 12-18 family waitlist is a strong signal but not a permanent one - a 2-week verification (e.g., waitlist-conversion email) before lease signing significantly improves confidence.
03. Core Strategy
Decision Framework
Four options were compared on five dimensions: defensible payback math, risk to existing center, brand-trust preservation, time-to-revenue, and 36-month positioning. Each option was modeled with explicit revenue, cost, and risk numbers - not narrative judgement. The winning option scored highest or near-highest on every dimension except "novelty," which the decision intentionally deprioritized.
Recommendation Logic
The recommendation rests on the waitlist as the primary signal - without the waitlist, the same analysis would push toward the price raise. With the waitlist, every dimension favors physical expansion over digital expansion, and every dimension except capital intensity favors a single new location over parallel expansion. The 36-month positioning is also better: two physical locations is a foothold the owner can sell as a regional brand later; a saturated online program is not.
04. Risks & Operator Advice
Operator over-extension during the 6-month buildout-and-launch window
Tutoring businesses live and die on operator presence. A 6-month period where the owner is splitting attention between two locations is the moment when both centers can lose quality simultaneously.
Mitigation: Hire the lead tutor for the second location 6 weeks before opening. Reduce the owner's direct teaching at the original center to free up oversight bandwidth. Block the calendar week of opening as 100% owner-on-site at the new location.
Lead tutor quality at the second location undershoots the original center
Parents repeat-refer on tutor relationships, not on brand. A weaker lead at the new location caps the location's ceiling permanently.
Mitigation: Hire the lead from inside the existing center wherever possible - culture transfer beats market hires for the lead role specifically. Backfill the existing center's second-line tutor from the external market instead.
05. Immediate Next Steps
The location choice is the entire decision's payback math. Without confirmation, the lease signing is a guess.
Lease availability is the binding constraint. The 30-day decision window assumes brokerage activity starts now.
Direct waitlist confirmation in the next 14 days is the single most-defensible piece of evidence the lease decision can rest on.
Writing the model forces honesty about the utilization assumptions before they're locked in by a signed lease.
06. Supporting Evidence
Claims
Demand
Weekly waitlist of 12-18 families over the last 4 months at the existing tutoring center.
Market
Tutoring spend per household grew 12% in 2024 (Sallie Mae 2024 household spending data).
Geography
Families typically do not drive more than 4 miles for weekly tutoring (industry survey, 2023).
Evidence
Internal data
Existing tutoring center waitlist log, last 4 months.
Consumer survey
Sallie Mae household spending on supplementary education, 2024.
Industry survey
National tutoring-industry geography survey on family driving distance, 2023.
System Provenance
AI-generated recommendation refined through critique. Not certainty—may contain assumptions, inaccuracies, or incomplete context. Use your judgment.