4G/5G drive tests: 7 mistakes that ruin deliverables (and how to avoid them)

Many “drive tests” generate a lot of data… but very little evidence that other teams can reuse: the route can’t be reproduced, RF context is incomplete, exports are inconsistent, and the report is too raw.

Here’s a simple checklist (field + post-processing) to avoid the classic pitfalls and ship a clean deliverable.

1) Starting with no clear test objectives

Before recording anything, write down:

• objective (coverage, HO, throughput, VoLTE QoE, indoor, etc.)
• area and time window (peak vs off-peak)
• scenarios (static, slow mobility, high mobility)
• expected deliverables (screenshots, logs, short report)

Without this, post-processing becomes guesswork.

2) Not standardizing the test protocol

Same route ≠ same test.

Standardize:

• device model / OS version
• radio mode (4G / 5G NSA / 5G SA depending on context)
• conditions (car, indoor, pedestrian)
• steps: start → stabilize → measure → annotate

3) Forgetting to connect measurements to location

The “why” usually comes from the map:

• where degradation happens
• transitions (HO / reselection)
• building / terrain effects
• route differences

If your tool doesn’t connect KPIs + tracks, your deliverable loses most of its value.

4) Capturing incomplete (or non comparable) KPIs

To avoid “we can’t conclude”:

• keep a stable KPI baseline (RSRP/RSRQ/SINR/SNR, serving cell, neighbors, etc.)
• add protocol visibility when needed (RRC/NAS/IMS)
• be careful with tech switches (4G↔5G), otherwise you compare apples to oranges

5) Missing context annotations

Even small context notes help a lot:

• start/end of an observed issue
• exact spot (intersection, building entrance, floor)
• user actions (reset, airplane mode, reboot…)

Tip: one short note every few minutes beats a long paragraph after the test.

6) Exporting “non shareable” evidence

A good deliverable must be shareable without a live explanation:

• readable screenshots (key KPIs + context)
• structured logs
• short report (what / where / when / impact / hypotheses)

For optimization and support teams, it’s the difference between “thanks” and “please redo the test”.

7) Ignoring privacy constraints

In operator / enterprise environments, it’s non-negotiable:

• no mandatory cloud upload
• user-controlled sharing/storage/retention
• masking sensitive elements in screenshots when needed

A report structure that works

1. Executive summary (5 lines max)
2. Map view (OK/KO areas)
3. Top 3 findings + evidence
4. Hypotheses (RF vs Core vs device)
5. Actions / next measurements

Go further with HiCellTek

• Product: modules & exports → /en/product/
• Solutions: use cases (drive test / VoLTE / indoor) → /en/solutions/
• Demo/pilot: /en/contact/