Cityline Hotel: Too Many Complaints, Too Little Discretion
Cityline Hotel is a 180-room four-star property in a financial district. In the last quarter it logged 214 complaints: 38% cleanliness, 22% check-in waits over 15 minutes, 15% Wi-Fi, 10% noise from an adjacent construction site, and 15% billing errors. Guest satisfaction averages 7.9/10, but repeat business is 21% against a competitor-set average of 34%. The hotel has 140 staff; annual turnover is 55%. Frontline staff can resolve complaints only up to £25; anything higher goes to the duty manager, who is often in meetings. The general manager proposes a 'service excellence' programme: a two-day training course for all staff and raising staff discretion to £100. A rival hotel has just opened 300 rooms next door and is targeting the same corporate accounts.
1. Using the complaint data, decide which complaint category the hotel should tackle first. Justify your ranking.
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Raw counts: cleanliness 0.38 × 214 = 81; check-in 47; Wi-Fi 32; billing 32; noise 21.
Frequency alone is not the right test. Score each on frequency × guest impact × controllability:
| Issue | Count | Impact (1-5) | Controllable? | Score |
|---|---|---|---|---|
| Cleanliness | 81 | 5 | Yes | 405 |
| Check-in wait | 47 | 4 | Yes | 188 |
| Billing | 32 | 3 | Yes | 96 |
| Wi-Fi | 32 | 3 | Partly | 96 |
| Noise | 21 | 2 | No (construction) | 42 |
Cleanliness should be first: it is the largest category, it is a hygiene and trust issue, and it is controllable through room-check standards and housekeeping scheduling. But check-in is the quick win: 47 complaints, a predictable 15:00-17:00 peak, and a fix (staggered staffing, mobile check-in) that costs little. Noise is largely outside the hotel's control, so the response is communication and compensation, not root-cause removal. A good answer prioritises by impact and fixability, not just the biggest number.
2. Evaluate the general manager's proposal to raise frontline staff discretion to £100. Recommend whether to approve it.
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Raising discretion to £100 can work, but only as part of a system.
Benefits: frontline staff can resolve issues immediately, which addresses the check-in complaints and the delay caused by the absent duty manager. Speed is often more important than the amount. Empowerment also improves staff confidence and may reduce turnover.
Risks: £100 × 214 complaints = £21,400 per quarter if every case claimed the maximum. That is small against the value of a corporate account: 60 rooms × 200 nights × £140 = £1.68m. So the financial risk is manageable. The bigger risk is inconsistency and possible abuse without guidelines.
Conditions for success: a decision grid setting out what qualifies for what; a requirement to log the cause and outcome; a daily review of exceptions; and training in service recovery, not just a two-day course. Staff need a sequence: acknowledge, apologise, act, follow up.
Verdict: approve, but pilot in one department for a quarter and compare complaint recurrence and recovery time before rolling out. The £100 limit is less important than the rules and feedback around it.
3. Explain how the hotel should measure whether service recovery is working. Why is average satisfaction alone insufficient?
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Average satisfaction of 7.9/10 can hide a polarised distribution: many delighted guests and a damaging minority of complainants. Track instead:
- Recurrence rate: the proportion of complaints from the same root cause next month.
- Recovery time: minutes or hours from complaint to resolution.
- Cost per recovery and total recovery spend.
- Repeat booking rate among guests who complained versus those who did not - the service-recovery paradox test.
- Review sentiment on cleanliness and check-in specifically, not overall score.
- Staff confidence and turnover in front-line roles.
The programme's purpose is to convert complainants into repeat guests, so the key metric is whether recovered guests return at a higher rate than the 21% baseline. If recovery cost rises but recurrence and repeat rate do not improve, the programme is cosmetic.