Start with the channels and job roles that create the most realistic exposure, then add difficulty only after the exercise reliably produces useful reporting behaviour. A good programme tests whether people recognise and report a believable lure in their normal work context, not whether they can spot an obviously fake message.
What to test first in a new phishing simulation programme
Start by testing the channels and job roles that create the most realistic exposure, because early value comes from measuring whether people recognise and report a believable lure in their normal work context. The first objective is reporting behaviour and exposure realism, not defeating staff with an obviously fake message or maximum difficulty.
The first pass should reflect how phishing actually lands in your environment: email, collaboration tools, messaging, and the roles most likely to receive legitimate-looking lures. That lets you see whether the reporting path works, whether the right people notice the prompt, and whether the exercise reveals process gaps instead of just individual caution.
Difficulty should come later. If the initial exercise is too hard, teams learn the wrong lesson, managers get noisy results, and you lose the ability to compare outcomes over time. A baseline that is believable, role-specific, and easy enough to interpret gives you cleaner evidence for coaching, escalation, and programme tuning.
Why realism matters more than trickiness at the start
New programmes often fail when they optimise for “gotcha” value instead of operational signal. A believable lure tests the controls that matter first: recognition, reporting, and the organisation’s ability to handle user-reported messages consistently. Once that is working, you can raise complexity, vary delivery methods, and introduce more targeted pretexts.
This is also where scope discipline matters. If you start with every channel at once, or aim at every role equally, you dilute the results and make it harder to tell whether weak reporting is a content problem, a channel problem, or a training problem. Starting narrow gives you a clearer baseline for later expansion.
A practical first test should also sit close to the real workflows people use every day, such as invoice handling, document sharing, account notices, or internal-looking requests. The point is not to create perfect mimicry, but to see whether normal users can detect and route something suspicious without special instructions or forewarning.
How to expand from a baseline into a useful programme
Once the first round produces stable reporting data, expand by varying one dimension at a time: audience, lure theme, or channel. That makes it easier to learn whether changes in performance come from better awareness, better controls, or simply from the novelty of the simulation wearing off.
It also helps to align the exercise with the response process, not just the awareness message. If users report quickly but the handling queue is slow or inconsistent, the programme still has a gap. The best early programme tests both the front-end human response and the back-end triage path, so the measurement reflects the whole reporting loop.
For teams starting from scratch, that usually means using a small set of realistic scenarios, then using the findings to refine the next round. Good programmes evolve from evidence, not from trying to prove that everyone can spot an obvious fake on day one. The baseline should be understandable enough that the result tells you what to improve next.
Risk and Threat Considerations
Phishing simulations can become misleading if they are too easy, too broad, or too punitive. Overly artificial campaigns tend to inflate apparent success, while overly aggressive ones can damage trust and reduce reporting quality, which is the behaviour you actually need to strengthen.
Failure mechanism: If the first test does not match real delivery paths and realistic job context, the exercise measures guesswork instead of exposure. That can hide weak reporting habits, understate role-based susceptibility, and produce programme decisions based on bad data.
Impact: Teams may believe the programme is working when it is not, or may conclude the opposite after a badly designed test. Either outcome weakens trust in the exercise and makes later awareness, escalation, and response improvements harder to sustain.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
CIS Controls v8, NIST CSF 2.0 and NIST SP 800-53 Rev 5 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| CIS Controls v8 | CIS-14 — Security Awareness and Skills Training | Phishing simulations are a core awareness and behaviour-change control. |
| Recommendation — Measure user reporting and tune simulation difficulty before broadening the campaign. | ||
| NIST CSF 2.0 | PR.AT-01 — Awareness and Training are provided to users and role-based personnel | The question is about baseline awareness testing and role-specific exposure. |
| DE.CM-09 — Personnel activity is monitored to detect potential cybersecurity events | User reporting and response are part of detecting suspicious messages and suspicious activity. | |
| Recommendation — Target awareness tests to the roles and channels that create real exposure. Validate that reporting and monitoring produce usable detection signals. | ||
| NIST SP 800-53 Rev 5 | AT-2 — Awareness Training | Phishing simulations assess whether awareness training changes user behaviour. |
| AT-3 — Role-Based Training | The answer emphasises starting with the most exposed job roles. | |
| Recommendation — Use realistic simulations to test whether training changes reporting behaviour. Align the first simulation to the roles most likely to face believable phishing. | ||
Practitioner Guidance
What to prioritise: Choose the first test around the channels and roles most likely to see believable lures in real work. A small, well-targeted baseline is more useful than a broad campaign that produces ambiguous results.
What to verify: Confirm that the reporting path, triage ownership, and feedback loop are in place before you broaden the simulation. If a user reports the message, the programme should be able to show what happens next and how that report is handled.
Decision rule: If the first exercise does not produce useful reporting behaviour, adjust realism and audience fit before increasing difficulty. If the exercise is already generating clear signal, then add complexity gradually rather than jumping to advanced lures.
Practitioner takeaway: The best first phishing simulation is the one that reveals whether people will recognise and report a believable message in context, because that is the signal you can build a programme around.
Related resources from NHI Mgmt Group
- Guide: Phishing Simulation Programme Guide
- What should teams do first when they are starting a least privilege and zero standing privilege programme?
- How should security teams choose the first applications to protect when starting a Zero Trust segmentation programme?
- What should internal teams do first before starting a bug bounty programme?
- How should security teams prioritise NHI remediation in cloud environments?