See how engineers think before you interview them

Stop scoring CVs. Throw candidates into real work scenarios to identify the strong ones early.

Meaningful screening before interviews · Try 3 evaluations for free
# incident-war-room
5:56
System: Forms hypothesis before acting.

Screening engineers is still mostly guesswork

1. CVs don't show behavior

Polished stories and keywords still tell you very little about how someone operates in a messy real situation.

2. Early screening takes too much time

Reviewing large candidate pools manually is slow, and weak early filters make it easy to miss strong people.

3. Technical interviews are expensive

Real signal often appears only in engineer-led interviews, after you've already spent time on weak fits.

4. AI makes interviewing harder

Candidates can be prepped, and take-home tasks can be outsourced to AI. Traditional screening keeps losing signal.

Software engineering is not about syntax.
It’s about decisions under constraints.

So we built a way to measure exactly that.

How it works

Create a scenario for your role

Paste your job description and let the app prepare a scenario suited to your specific stack, architecture, and constraints.

Send an email or invitation link

Candidates get a simple email or direct link that takes them straight into the simulation experience.

Run a realistic production scenario

They step into a situation with teammates, constraints, and incomplete information. No generic quiz questions, just real decisions.

Review decisions and reflection

After the scenario, candidates explain their choices. You review how they prioritized, reasoned through uncertainty, and communicated.

Looking for a Senior Backend Engineer to scale our Node.js microservices, optimize Postgres queries, and manage AWS infrastructure...
Pasted
Node.js PostgreSQL AWS Microservices
✨ AI preparing your scenario...
To: candidate@email.com
Subject: Production simulation

You’ve been invited to complete a short production simulation.

# incident-war-room
Live simulation
Candidate • 14:32

Can you pull retry-worker logs plus duplicate count and queue depth for the last 15 minutes?

Mark (engineer) • 14:34

On it. Logs show 27 duplicates from one retry path; queue depth is still rising, so impact is not clear yet.

Mark is typing
Candidate
Decision signal
Observed behavior
Anna K.
8.7
Verifies before acting
Reasoning:
Focused on gathering concrete examples before action.
Balanced urgency with validation.
Tomas M.
6.2
Jumps to mitigation
Reasoning:
Acted on assumptions without verifying the source of the issue.
Potential risk of masking the root cause.
Lukas P.
9.1
Strong causal reasoning
Reasoning:
Systematically isolated the failure domain before making changes.
Clear communication with stakeholders.

Carefully prepared scenarios,
tailored to your roles

>

Designed by experienced engineers

The core scenarios are crafted by people who understand how production systems fail, how teams respond, and where real judgment shows up.

>

Tweaked to your job description

While the baseline scenario is robust, we automatically adapt the stack, scale, architecture, and operational context to reflect the role you are actually hiring for.

>

Made to reveal real thinking

The value isn't just in asking a question, but in presenting a realistic situation that exposes prioritization and decision quality.

Base Scenario
Production Degradation
+
Role Tweaks
Node.js + PostgreSQL stack
4M requests/day on AWS
Base Scenario
System Failure
+
Role Tweaks
Kubernetes + Kafka platform
99.95% SLA, fintech traffic
Base Scenario
LLM Service Degradation
+
Role Tweaks
Customer support AI Assistant
Custom RAG pipeline
Base Scenario
Data Integrity Crisis
+
Role Tweaks
Snowflake + dbt pipelines
B2B SaaS with usage-based billing
Base Scenario
Security / Trust Breach
+
Role Tweaks
SOC 2 / GDPR obligations
Azure AD + OAuth scopes
Base Scenario
Frontend Incident
+
Role Tweaks
React + TypeScript frontend
Global product (12 locales)

What you actually learn about a candidate

>

How they prioritize under constraints

Do they focus on the highest-leverage problem first, or get lost in lower-impact tasks?

>

How they approach debugging and uncertainty

Do they reduce ambiguity methodically, or make assumptions before they understand the system?

>

How they communicate with stakeholders

Can they explain trade-offs, risks, and next steps clearly to teammates and non-engineers?

>

How they balance speed, risk, and impact

Do they move quickly without losing sight of system impact, operational risk, and business context?

Not what they claim, but how they operate when the system isn't ideal.

Built for engineering leaders and recruiters

Engineering leaders

Use it to filter large pools before interviews and identify strong candidates earlier.

HR & recruiters

Replace CV guessing with observed behavior and avoid spending interview time on weak fits.

ProdSimulator dashboard preview

Simple interface. Meaningful screening signal.

Built for agencies screening candidates at scale

Bring ProdSimulator into your hiring workflow with onboarding, volume support, and a setup call tailored to your roles.

Works across roles
Engineering: frontend, backend, DevOps Digital Marketing Product and Management
Agency onboarding

Come talk to us about your candidate volume.

We will help map scenarios to your roles, show you the recruiter workflow, and set up your first hiring pipeline.

Prefer self-serve? Per-evaluation pricing is still available inside the app.

Come register: you get 3 evaluations for free, and we will give you 50 more for free on the onboarding call.

Michal, founder of ProdSimulator
Michal Bukovy
Engineer & founder of ProdSimulator

How do you spot a good engineer in the AI era?

You can optimize your CV. You can even optimize yourself for interviews.

But you can’t fake engineering when systems get messy.

So I built a way to observe decisions instead of answers.

“The best engineers aren’t the ones who know the most.
They’re the ones who don’t panic when nothing makes sense.”

Built by Michal - engineer and founder.
michal@prodsimulator.com

ProdSimulator doesn't replace interviews.
It makes screening meaningful.

Start screening engineers

Frequently asked questions

What’s the difference between a simulation and an evaluation?

A simulation is the scenario the candidate goes through (e.g. production incident, trade-off decision).

An evaluation is the result you receive after the candidate completes it.

You only pay for completed evaluations ‐ not for creating or assigning simulations.

Do I pay for every candidate I invite?

No. You only pay when a candidate completes the simulation and produces a valid evaluation.

If they drop off or don’t finish, it doesn’t count.

What counts as a valid evaluation?

A valid evaluation means the candidate meaningfully engaged with the scenario and completed the simulation flow.

Incomplete sessions, spam responses, or abandoned attempts are not counted.

How should I interpret the results?

ProdSimulator doesn’t give you a “perfect score.”

It shows how a candidate behaves in realistic situations ‐ prioritization, decision-making, communication.

Use it to decide who is worth interviewing, not as a final hiring decision.

Can I customize simulations for a specific role?

Yes. ProdSimulator automatically tweaks scenarios based on your job description. The simulation adapts to reflect the kind of situations relevant to your specific role.

Is there a money-back guarantee?

Sure! If you don’t find the evaluations useful, you can request a refund.

No lock-in, no long-term commitment.

How long does a simulation take?

Typically 6–10 minutes.

Short enough to complete, long enough to reveal how a candidate thinks.

Does this replace technical interviews?

No. It replaces early screening.

You start interviews with candidates who already demonstrated real-world thinking.

Can candidates game the simulation / delegate to AI?

Not easily. Simulations require reasoning in dynamic situations, not memorized answers.

Furthermore, AI-assisted responses are easy to detect and will be flagged as invalid.