Interactive customer report

See the network story before the next outage does.

Explore how SignalWise turns fragmented site evidence into traceable risks, commercial impact and an engineer-reviewable action plan for Grand Plaza Hotel.

Evidence traceabilityAI review companionPriority remediation

AI-assisted. Evidence-led. Engineer-reviewed.

Audit command view

Grand Plaza Hotel

Needs attention
OUT OF 10

5.8

Network health

Evidence to decision
EvidenceAnalysisAction

5

Findings

3

Fix now

3

Evidence gaps

Site profile

8 floors / 180 rooms

Hotel / Hospitality in Manchester, UK

Network estate

14 access points

Fibre with 4G cellular backup

Evidence posture

3 files reviewed

2 parsed / 1 attached for context

Review standard

Engineer review required

AI-assisted and evidence-led

Guided report journey

From signal to accountable action

The sample is organised for an executive conversation first, with enough evidence depth for an engineer to challenge and validate the conclusions.

01

Understand the signal

Start with the health score, executive summary and business consequence rather than raw technical detail.

02

Trace every conclusion

Move from each finding to the evidence register and see what was parsed, attached or still needs validation.

03

Leave with a plan

Use the priority board to separate immediate risk, planned remediation and post-change monitoring.

Step 1 - Describe the site

Use a real-world scenario, not sensitive data

9/12 complete

Step 2 - Explain the concern

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Original reference report

This curated report remains available after every refresh.

Network readiness audit

Public sample

Grand Plaza Hotel

Generated 27 Jul 2026Medium-High risk

Health score

5.8

out of 10

Needs attention

Executive summary

Grand Plaza Hotel should be treated as a medium-high priority improvement site. The submitted evidence points to meaningful wireless coverage gaps, legacy hardware constraints, and resilience/security questions that could continue to affect guest experience and operational reliability during busy periods.

Decision signal, not a live network measurement

Analysis provenance

Curated AI-assisted sample

Prepared as a transparent product demonstration

This public sample uses synthetic hotel evidence to demonstrate report structure and AI-assisted interpretation. It is not a live customer audit or a measured RF survey.

AI-assisted interpretation

Review companion

Choose a question to turn the report into a clearer decision. Guidance is grounded in the report already shown and does not add new technical evidence.

Immediate priorityAI-assisted. Evidence-led. Engineer-reviewed.

Access point density appears low

Coverage quality may drop during peak occupancy and roaming between floors can become inconsistent.

Validate guest and operational network segmentation.
Investigate upper-floor wireless complaint hotspots.
Map current AP positions against floorplans.

Use this guidance to prepare stakeholder questions. Confirm technical conclusions against current site evidence before remediation, procurement or customer delivery.

Decision sequence

Priority action plan

Separate immediate exposure from planned improvement and the measures that prove remediation worked.

Fix now

Reduce immediate exposure

  1. 1Validate guest and operational network segmentation.
  2. 2Investigate upper-floor wireless complaint hotspots.
  3. 3Map current AP positions against floorplans.

Fix next

Plan the next workstream

  1. 1Replace legacy APs in high-demand areas.
  2. 2Run backup circuit failover testing for critical hotel systems.

Monitor

Prove the improvement

  1. 1Track guest complaint trends by floor and time of day.
  2. 2Re-audit after remediation to confirm score improvement.

Finding register

What needs attention and why

5 evidence-led findings

01

Access point density appears low

High Risk

Operational impact

Coverage quality may drop during peak occupancy and roaming between floors can become inconsistent.

Recommended response

Validate floor-by-floor AP density and design additional placement for upper floors and busy common areas.

02

Upper-floor Wi-Fi complaints suggest coverage gaps

Medium-High Risk

Operational impact

Guest satisfaction and support demand are likely to worsen during high occupancy periods.

Recommended response

Run targeted coverage validation on upper floors and correlate complaint times with channel utilization and client load.

03

4G cellular backup may not be sufficient

Medium Risk

Operational impact

Failover may keep basic connectivity alive but may not protect critical guest and operational services under load.

Recommended response

Test failover performance against booking, VoIP, PMS, and operational workflows.

04

Legacy 2.4GHz-only APs reduce performance

Medium Risk

Operational impact

Older APs can limit throughput and client experience, especially during dense guest usage windows.

Recommended response

Prioritise replacement of legacy APs in guest room corridors and high-demand shared spaces.

05

No clear VLAN segmentation

High Risk

Operational impact

Weak isolation between guest and operational traffic raises both security and stability concerns.

Recommended response

Document and validate segmentation between guest, staff, management, and voice services.

Evidence interpretation

Coverage

Coverage concerns are most visible on upper floors where complaints already exist. Without a validated AP placement map, the current AP estate should be treated as insufficiently evidenced for reliable guest coverage.

Performance

Performance risk is driven by a combination of probable AP contention, aging 2.4GHz-only hardware, and documented peak-hour complaints rather than a single isolated fault.

Resilience

The site benefits from a defined backup path, but a 4G cellular fallback should not be assumed to provide equivalent operational continuity during a primary outage.

Security

The lack of clear VLAN segmentation materially raises guest-to-operations risk and limits confidence in current containment controls for rogue or compromised devices.

Commercial impact

Why the business should care

Unresolved connectivity issues can directly affect guest satisfaction, staff efficiency, and confidence in future hotel network changes or service expansions.

Evidence register

Trace the report back to source

Parsed files contribute extracted signals. Attached-only files stay visible for engineer context without pretending that the current beta interpreted them.

3

Files

2

Parsed

1

Context

upper-floor-complaints.txt

text/plainParsed

Parsed text notes from the uploaded evidence.

View 2 extracted signals
  • Guest complaints rise on levels 7 and 8 after 18:00, especially near corridor AP clusters.
  • Staff report roaming drops outside lift lobbies during peak occupancy.

guest-wing-speed-tests.csv

text/csvParsed

Parsed structured rows from the uploaded CSV evidence.

View 3 extracted signals
  • Columns: floor, area, download_mbps, upload_mbps, note
  • floor=8; area=East Wing; download_mbps=18; upload_mbps=7
  • floor=7; area=Lift Lobby; download_mbps=22; upload_mbps=9

levels-7-8-floorplan.pdf

application/pdfAttached only

Attached for reviewer context only in this beta preview. PDF and image files are not automatically interpreted yet.

Review close-out

Turn the report into accountable follow-up

Recommended fixes

Engineering workstream

  • Validate AP density and placement by floor and guest load zone.
  • Replace legacy 2.4GHz-only APs in high-priority areas.
  • Confirm VLAN segmentation between guest and operational traffic.
  • Test backup failover against real hotel workloads.
  • Produce an updated wireless and network inventory baseline.

Recommended next steps

Move the review forward

  • Complete a focused floor-by-floor wireless validation.
  • Confirm segmentation and resilience controls with current-state evidence.
  • Schedule a re-audit after the first remediation phase.

Further validation

Close the evidence gap

  • Floorplan-accurate AP placement map
  • Failover test evidence for the 4G backup circuit
  • Current VLAN and SSID segmentation design