CHTP common mistakes
CHTP · Understand the traps and how to avoid them.
On scenario questions the candidate immediately names a product or platform ("implement a new PMS," "add a chatbot") as the answer, skipping straight past the business problem and the capability that is actually missing.
Exam items are written with a lot of technology vocabulary and attractive-sounding options, so the most sophisticated-sounding tool feels like the 'correct' answer; candidates also carry a bias from their own vendor exposure.
What to do instead
Force a five-step written sequence before selecting an option: business objective and KPI (guest satisfaction, RevPAR, cost per occupied room), current-state capability, the specific gap, two or three options with trade-offs, then the recommendation. Eliminate any option that cannot be tied back to the stated objective.
When a property or department has bought its own point solution outside IT, the candidate selects the answer that pulls all technology spending and decision rights under the IT department, or selects 'escalate to the CEO' as the resolution.
Candidates conflate IT governance with enterprise governance and assume central control equals good governance; exam prep material on 'alignment' encourages answers that concentrate authority rather than define it.
What to do instead
Learn the distinction: enterprise governance sets portfolio priorities and risk appetite, IT governance defines decision rights and accountability. Answer with a documented decision-rights matrix (who decides, who is consulted, who is informed), a fast exception process for business-led purchases, and a standing steering committee that owns prioritisation.
For availability questions the candidate answers 'add redundancy' or 'buy the HA version' and never traces the guest-facing service down through its dependencies, so a single ISP link, core switch, wireless controller or in-room power circuit goes unaddressed.
Vendor architecture diagrams show redundancy at the application tier, and candidates study availability as a product attribute or a licensing tier rather than as a property-level dependency chain.
What to do instead
Practice drawing the chain for check-in, Wi-Fi authentication, POS payment authorisation and electronic door locks down to ISP, firewall, core and access switching, controller, and power. For each service state the RTO, RPO and MTTR, name the single points of failure, and say how failover is tested rather than assumed.
The candidate treats data as a by-product of the systems and never names a data owner, so metrics such as occupancy, ADR or total revenue per available room are defined differently in the PMS, the revenue management system and the reporting layer, and guest profiles duplicate across properties.
Data management study time gets spent on storage, backup and retention mechanics, which are easy to memorise, while stewardship, definitions and master data feel abstract and are skipped.
What to do instead
For any data scenario, assign an accountable data owner and a steward per domain, publish one canonical definition per metric with its calculation and system of record, and require master data standards for guest profile, room type and rate codes. Add data quality measurement and a retention schedule to the answer.
Security scenarios are answered with a generic control list ('install a firewall,' 'train the staff,' 'encrypt everything'), and the candidate treats PCI DSS validation or a passed audit as proof that the estate is secure.
Control lists are the easiest thing to memorise, and compliance certification is often presented in study material as the end state rather than as a baseline with a point-in-time scope.
What to do instead
Structure every answer as asset, data classification, threat and likelihood, control category (administrative, physical, technical), then residual risk with a named accepting owner. Cite the specific obligation for the data type: PCI DSS for cardholder data, GDPR or CCPA-style rules for guest personal data, local breach notification for incident response. State explicitly that compliance is a floor, not the objective.
The candidate selects the vendor with the longest feature checklist or the strongest demo, and never examines how the contract allocates risk: no SLA credits, no data ownership and exit clause, no escrow, no termination assistance, no reference from a comparable property type.
Feature comparisons are concrete and easy to score, while contract terms feel like legal detail outside the technology remit, so they are mentally deferred.
What to do instead
Separate mandatory pass/fail requirements from weighted scored criteria before evaluation, and document the weights. Then apply a contract test to every shortlisted vendor: SLA definition and remedy, data ownership and export format on exit, source code or data escrow, termination assistance, price protection, and references from the same tier of property and ownership model.
Business cases are built from the vendor's subscription quote alone, so the five-year cost excludes implementation, integration, data migration, training, support uplift, hardware refresh, compliance work and the cost of running the old system in parallel, and the savings side is stated as annual licence avoidance.
Vendors present subscription pricing because it is simple, and candidates mirror the quote structure instead of building a lifecycle model; discounted cash flow feels like finance-specialist work.
What to do instead
Always build a five-year total cost of ownership: one-off implementation and integration, migration, training, recurring subscription with contracted escalation, support and refresh, compliance and audit, contingency, and exit or parallel-run cost. Compare options on net present value, payback period and cash-flow timing, not on headline annual saving.
Integration is treated as a yes/no connectivity question, so the candidate endorses a design that connects each pair of systems directly, with no canonical data model, no named system of record and no error handling, and then cannot explain why each new system multiplies the number of interfaces.
Study attention goes to whether an interface exists rather than to what contract it enforces, and point-to-point links are the easiest to visualise on a whiteboard.
What to do instead
For each integration, name the pattern (point-to-point, hub-and-spoke middleware, API gateway, integration platform as a service, event stream), the system of record for each entity, the message contract and versioning, the retry and dead-letter behaviour, and the total cost as the number of connected systems grows.
Faced with an emerging-technology scenario, the candidate recommends the newest option (AI concierge, IoT sensors throughout, predictive analytics) even where there is no clean data, no network capacity, no identity foundation and no operational owner to act on the output.
Emerging-technology questions reward novelty, and candidates assume that recommending the most advanced option demonstrates current knowledge rather than judgement.
What to do instead
Score each candidate technology on maturity, evidence of value in a comparable operation, data readiness, integration effort, privacy and regulatory exposure, and operational capacity to act. Then sequence the enabling foundations first and propose a bounded pilot with pre-agreed success criteria, a kill criterion and an exit path.
The candidate plans the deployment as a pure project: schedule, budget, work breakdown and cutover date, with go-live treated as the finish line; there is no stakeholder analysis, training plan, readiness check, hypercare period or benefit tracking afterwards.
Project management artefacts are heavily studied and easy to reproduce under time pressure, while adoption and benefits realisation are diffuse and rarely tested in a single memorable formula.
What to do instead
Answer with both tracks: project delivery and organisational change. Include stakeholder and impact analysis, communication and training, a go-live readiness assessment with a documented go/no-go authority, a defined hypercare window, and post-implementation measurement of adoption and benefits against the original business case.