A phishing simulation is safe practice, not a trap. See how it works step by step, which metrics matter, and the mistakes that ruin a program.
A phishing simulation sends a safe, fake phishing email to your own staff to see what they do. Nobody is harmed, and no data leaves. The point is practice and measurement, not catching people out. Run them regularly, coach rather than punish, and judge the program by how fast people report rather than how few click.
The process is simple once you see it laid out.
Nothing malicious runs at any point. A click leads to a landing page you control, which explains what the clues were. That teaching moment is the part that changes behavior, so it matters more than the statistics.
Click rate is the number everyone knows, and on its own it is the weakest of the four.
| Metric | What it tells you | Why it matters |
|---|---|---|
| Click rate | Who followed the lure | A starting point only |
| Report rate | Who told security | The clearest sign of a working habit |
| Time to report | How fast the warning arrived | Minutes decide if a real attack spreads |
| Repeat failures | Who keeps falling for the same thing | Shows where coaching is needed |
Verizon’s breach research found reporting rose sharply after training, which is why report rate deserves the most attention. A click harms one mailbox, while a fast report protects everyone, because the team can pull the same message from other inboxes. A program where clicks fall but nobody reports has not actually improved.
Compare each group against its own past results rather than against other teams. Cross-team comparisons invite blame, and blame drives mistakes underground.
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An easy simulation flatters your numbers and teaches nothing. One that is too cruel damages trust. Aim between the two, and expect to adjust after the first round rather than getting it right immediately.
Start with lures that look like real mail your staff receive. Then raise difficulty as reporting improves. A finance team that spots generic invoices should next see one that references a real supplier naming convention. Difficulty should track the group’s results, not the calendar.
Match the lure to the role, because exposure differs. Finance meets invoice fraud, HR meets fake résumés, and executives meet impersonation. Matching lures to roles makes the test realistic rather than generic.
NIST’s phishing guidance also stresses realistic but fair testing. Avoid lures built on personal distress. Fake bonuses, layoffs, or health scares produce anger rather than learning, and the anger lasts longer than the lesson.
Attacks no longer arrive only by email, so simulations should follow. Text messages, chat apps, and voice calls all carry real attacks now.
Voice deserves special mention, because it is the channel most programs skip. Attackers now clone an executive’s voice convincingly from a short public clip, which makes a phone call far less trustworthy than it used to be. A cloned voice asking for an urgent payment tests a completely different reflex than a suspicious link does. Practising the callback rule in a voice phishing simulation is far better than meeting it for the first time during a real attempt.
Messaging apps matter too, particularly where staff use them for work. Many teams run client conversations on WhatsApp without treating it as a work channel, so nobody watches it. A simulation there reaches a channel most programs ignore entirely.
Most programs fail for predictable reasons.
Pick the channels for your phishing simulation by what your people actually use for work. A WhatsApp simulation suits teams who handle client conversations there, which is common across many regions.
Role-based training keeps this manageable, since the groups already exist in your directory. Add channels in order of exposure rather than all at once. Email first, because volume is highest. Then the messaging app your teams use daily. Then voice, because it takes the most effort to run well and benefits from a settled reporting habit first.
Expect modest, steady change rather than a dramatic drop.
Report rate should climb and keep climbing. Time to report should fall from days to minutes. Repeat failures should concentrate in a small group who then get focused coaching. Click rate usually falls too, though it moves less than people expect, and that is normal.
Also watch for a quieter sign of success. Staff start reporting real suspicious emails, not just simulated ones, and sometimes they report things that turn out fine. Those false alarms are a good sign, because they mean reporting feels safe. That shift is the clearest evidence a program is working. Pair the simulations with short lessons, so coaching reaches people who need more than a landing page.
Most programs stall on administration rather than intent. Scheduling, chasing, and reporting eat the time that should go into coaching.
Threatcop Security Awareness Training (TSAT) handles the assessment half. It runs simulations across multiple attack vectors, including email, SMS, voice, QR codes, and WhatsApp, so a program is not limited to the channel that is easiest to test. Its Employee Vulnerability Score turns a department average into a named list, which is what makes targeted coaching possible rather than theoretical. It also measures average breach time, meaning how long from lure to compromise, and identifies repeat offenders automatically, so the people who need help surface without anyone building a spreadsheet.
Active Directory integration keeps the groups current as roles change, and the executive report gives leadership the trend rather than a single month’s click rate.
A phishing simulation is practice, not a test with a pass mark, and treating it as a test is what makes staff resent it. Run them at least quarterly, because habits fade between rounds. Keep individual results private, and coach in the seconds after a click, when the lesson actually lands. Widen the program past email to the channels your attackers already use, including text, chat, and voice. Then judge the whole thing on one question rather than a dashboard full of them: when something suspicious arrives, how quickly does somebody tell you? A program where clicks fall but nobody reports has not made the organization safer. One where reports arrive in minutes has.
A phishing simulation is a safe, fake phishing email sent to your own employees to measure how they respond, and what it contributes is a measured reporting habit. Nothing malicious runs, and no data is taken. It exists to build and measure a reporting habit.
Quarterly is a reasonable minimum, and monthly suits higher-risk roles such as finance. Annual testing does not work, because the habit fades between rounds and staff treat the exercise as a formality.
Not if the program coaches instead of punishing. Keep results private, explain the clues right after a click, and avoid lures built on personal distress such as bonuses or layoffs. The aim is practice, not a trap.
There is no universal number worth chasing, because difficulty changes it completely. A rising report rate and falling time to report say far more about readiness than a low click rate does.
Yes, because real attacks use those channels. Voice calls with cloned audio and text message lures test different reflexes than email, so a program limited to email measures only part of your actual exposure.
Director of Growth
Naman Srivastav is the Director of Growth at Threatcop, where he leads customer-facing and product marketing teams. With a self-driven mindset and a passion for strategic execution, Naman brings a competitive edge to everything he does — from driving market expansion to positioning Threatcop as a leader in people-centric cybersecurity.
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