Why Your Best Franchise Location Has Half the Turnover (And How to Copy It)

Three of your locations are bleeding. One is steady. Same brand, same playbook, same pay band, same managers running the same training. Yet one GM keeps her staff for 14 months on average and the other three turn over in 5. You are the only person in the system who sees all the locations at once — which means you are also the only person who can run the experiment that fixes it.

Most franchise turnover writing focuses on retention: scheduling, wages, perks, recognition. Those matter, but they're the post-hire response. The pattern in multi-unit operations is almost always pre-hire: the location that holds people hired different people. This post is how to find what the steady location is doing at the hiring stage and copy it across the system in 30 days.

TL;DR

The U.S. accommodation and food-services industry runs a quit rate roughly 2× the all-industry average (BLS JOLTS, latest monthly release) — but the variance between locations of the same brand is bigger than the variance between brands. That gap is hiring quality, not industry. Use your own lowest-turnover location as a control group, reverse-engineer its hiring filter, write the filter into a 4-question structured interview every GM runs the same way, and roll it across the system. Cost: 6 hours of your time + one printed scorecard per location.

The data point you already have but aren't using

Your franchise system has a built-in A/B test you didn't design. Two locations doing the same job, hiring from the same labor market, paying the same wage — and one keeps people twice as long. That's not luck. That's a hiring filter the steady GM is applying, consciously or not.

The U.S. Bureau of Labor Statistics tracks this gap at the industry level. Accommodation & food services has run a monthly quit rate materially above the all-industry monthly quit rate for the past two years — more than 2× the cross-industry baseline (BLS JOLTS, latest monthly release). Within franchise systems, the location-level variance often exceeds even that industry gap. If your worst location is 80% annual and your best is 40%, your best location is performing well above the industry mean.

That's a copyable pattern, not a personality trait.

Step 1: Identify your control location

Pull 12 months of separation data by location. Rank by voluntary-quit rate (ignore terminations, layoffs, transfers). The lowest-quit location is your control. Don't argue with the data — even if you suspect a different GM is "better," the one whose people stay is your starting point.

If you have ≥5 locations, also identify the worst location for contrast. The diagnostic isn't "what does the steady location do well" — it's "what does the steady location filter that the bleeding location lets through."

Step 2: Interview the steady GM (60 minutes)

This is not a casual conversation. It's a structured debrief. Three questions, in order:

1. "Walk me through the last three people you hired who stayed past 6 months. What did they have in common in the interview itself?" You're looking for behavioral patterns — they had a real example of working a chaotic shift, they asked specific questions about the role, they showed up 10 minutes early. Not personality words like "positive" or "friendly."
2. "Walk me through the last three people you didn't hire even though they were available. What was the disqualifier?" This is the filter. Often it's a tell the GM has learned to read — bad answers to a specific question, evasiveness on a specific topic, a particular kind of resume.
3. "What do you ask in every interview that you didn't ask three years ago?" GMs accumulate filters by trial and error. The questions added over time are usually the ones that work.

Write down everything. You're building the filter.

Step 3: Convert the filter into a 4-question structured interview

Take the patterns from step 2 and convert them into behavioral interview questions every GM in the system will ask, in the same order, scored on a 1–5 scale.

Example for a quick-service or retail context (adjust to your operations):

• Pace under pressure: "Tell me about the most chaotic shift or hour you've ever worked. What did you do?" (Looking for: composure, specific actions, no blame.)
• Coachability: "Describe feedback a manager gave you in the last year that you initially disagreed with. What did you do over the next month?" (Looking for: specific example, behavior change.)
• Reliability tell: "When was the last time you missed a shift, and what happened?" (Looking for: a real answer — everyone has missed a shift — and ownership of what happened next.)
• Why this job: "Walk me through the last 24 hours leading up to applying for this role. What made you click submit?" (Looking for: a real reason, not 'I just need a job.' Real reasons predict 6-month retention.)

Each question gets a written 1–5 anchor. Hire only candidates scoring 3+ on every question. Document the scoresheet. Save it in the personnel file.

Step 4: Roll out across the system (30 days)

Print the question sheet and the scoring rubric. Send it to every GM with a one-page memo explaining the experiment and the data behind it (the location variance). Sit in on the first two interviews each GM runs to calibrate scoring — without this calibration step, you get four GMs scoring the same answer four different ways and the rubric doesn't work.

Re-pull separation data at 90 days and 180 days. Locations that adopted the filter should show a meaningful drop in first-90-day quits. Locations that didn't adopt the filter are your follow-up conversation.

The franchise-level math

The International Franchise Association's Franchise Business Outlook 2026 projects U.S. franchise establishments and franchise-sector employment will continue net positive growth (IFA Franchise Business Outlook 2026). Net growth at the system level masks the fact that location-by-location, the labor cost of replacing a single hourly worker — recruiting, onboarding, lost productivity, manager time — typically runs a meaningful fraction of annual wages. At a 40-point spread between your best and worst location, the dollar cost of not copying the filter is already in the high five figures per year per location.

FAQ

How is franchise turnover different from regular SMB turnover? Franchise systems compete in the same labor market as independents but have the structural advantage of a multi-location control group. Most SMBs hire blind because they only have one location to compare against. Franchise operators can run the cross-location diagnostic in this post; independent SMBs have to substitute industry benchmarks for the comparison.

My franchisor mandates an HRIS and a hiring process. Can I still do this? Yes — the structured 4-question interview can usually slot inside an existing ATS/HRIS workflow as the "in-person interview" step. Talk to your franchisor before deviating on documentation; in most systems they want consistent process and will support an evidence-based improvement to it.

What if my "steady" GM is just lucky? Possible, but unlikely past 12 months of data. Run the analysis on the trailing 24 months if you have it. If the steady location stays steady across two years and the bleeding locations stay bleeding, it's not luck.

Is at-will employment under FLSA the same in every state? Federal FLSA establishes the at-will baseline but state laws (Montana being the notable exception with just-cause requirements past probation) modify it. For interview-stage practices specifically, the binding constraint is EEOC's Uniform Guidelines on Employee Selection Procedures, which apply nationally. Your franchisor's legal team should review any system-wide change to hiring questions.

How long until I see the turnover number move? First-90-day quit rate typically moves first, within 60–90 days of rollout. Annual turnover is a trailing indicator that takes 9–12 months to update. Track the leading indicator (90-day quit rate) for the first half-year.

What to do next

Pull your 12-month separation data by location this week. Identify your highest- and lowest-turnover GMs. Block 60 minutes on each calendar — the steady GM first, for the debrief in step 2.