STAR-scored coaching · 60+ behavioral questions · 14-day Readiness program

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Practice behavioral interviews out loud.

The STAR-method interview coach for software engineers. Answer real behavioral questions by voice, get instant feedback scored against Situation, Task, Action, and Result — calibrated to Amazon Leadership Principles, Google's Googleyness, and the bar at Meta, Stripe, and Shopify.

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Practice Session
Practicing for Amazon · Senior frontend · Behavioral round
AmbiguityAmazonGoogleMetaStripe
QUESTION 1 OF 5
Tell me about a time you had to make a decision with incomplete information. What was your approach?
Choose your coach
Click to start recording
Speak for 1 to 3 minutes
Trusted by engineers preparing forAmazonGoogleMetaStripeShopifyAtlassianGrab
The platform

Practice. Score. Improve. Repeat.

Three connected loops. Recorded answers feed your story bank, the bank feeds your Readiness score, and the score tells you exactly what to drill next.

Voice-first practice

Real interviews are spoken, not typed. Answer questions by voice. Whisper transcribes, Claude scores against the STAR rubric for your target company.

0:48 / Recording…

STAR-scored feedback

Every answer scored on Situation, Task, Action, Result — plus the leadership principle it best demonstrated. One concrete fix you can apply in your next take.

Situation8.4
Task7.9
Action6.2
Result8.1
Top fix: Quantify the Action — how many requests/day?

Readiness score

A single number that tells you when you're ready. Combines STAR average, story-bank coverage, and the leadership principles you've actually proven.

45
Readiness
Have backbone
6.8
Ownership
1.0
The STAR method

Four letters. Every behavioral answer.

“Tell me about a time…” questions are scored against a four-part rubric. Miss any of the four and the answer falls flat — even if your story is strong.

S

Situation

Set the scene. What was the project, the team, the constraint? 15–20 seconds, no more.

T

Task

What were you on the hook for? Make ownership unambiguous. Avoid “we”.

A

Action

The longest section. Specific things you did, in order. Trade-offs you made and why.

R

Result

Measurable outcome. Numbers, percentages, dollars. What changed because of you?

Example · Bias for Action
“Tell me about a time you had to make a decision with incomplete information.”
Ambiguity
Situation
Q4 2024, our checkout API started returning 5xx for 0.6% of requests after a deploy. Logs were missing the upstream trace, and the engineer who shipped it was on PTO.
Task
I was on-call. I owned restoring the SLA within the 30-minute error budget — without rolling back, because two unrelated features depended on the same release.
Action
I made the call to ship a targeted retry shim in 18 minutes rather than wait for the full RCA. I diff'd the deploy, isolated the new gRPC client config, and wrapped the call in a 200ms-timeout retry. Coordinated with SRE on Slack the entire time so the rollback option stayed warm.
Result
5xx rate dropped to 0.02% in 4 minutes. We held the SLA, the dependent features stayed live, and the proper fix landed the next morning. I wrote the postmortem the same day.
Question bank · 60 curated

Every behavioral question, mapped to a competency.

Sixty interviewer-grade behavioral questions covering all 16 Amazon Leadership Principles plus the signals Google, Meta, Stripe, and Shopify look for. Each question ships with hints, follow-ups, and a target level.

Browse full library
Question
Competency
Level
Best score
Tell me about a time you had to make a decision with incomplete information. What was your approach?
Ambiguity
L4–L6
6.7
Practice
Describe a situation where you were given a vague or open-ended problem and had to define the solution yourself.
Ambiguity
L4–L6
Not tried
Practice
Tell me about a time you disagreed with a teammate or manager on a technical decision. How did you resolve it?
Have Backbone
L4–L6
6.8
Practice
Describe a time you took on something significant outside your responsibility and saw it through.
Ownership
L5–L7
Not tried
Practice
Tell me about a time you caught something important in a design review or code review that others had signed off on.
Are Right A Lot
L4–L6
Not tried
Practice
Describe a project where you had to learn a brand-new technology under pressure to deliver.
Learn and Be Curious
L3–L5
Not tried
Practice
Tell me about a time a customer or stakeholder asked for something you knew wouldn't work. What did you do?
Customer Obsession
L4–L6
Not tried
Practice
Describe a time a deliverable slipped on your team. What did you do, and what did you learn?
Deliver Results
L4–L6
Not tried
Practice
Tell me about a gnarly bug or performance issue where the obvious fix didn't work. How did you dig in?
Dive Deep
L4–L6
Not tried
Practice
Describe a time you had a production problem with symptoms everywhere but no obvious root cause. How did you narrow it down?
Dive Deep
L5–L7
Not tried
Practice
Coverage

All 16 Amazon Leadership Principles. Every story you'll need.

The Amazon loop is the toughest behavioral interview in tech — every other FAANG bar is below it. Get ready for Amazon and you're ready for everywhere else.

01Customer Obsession
02Ownership
03Invent and Simplify
04Are Right A Lot
05Learn and Be Curious
06Hire and Develop the Best
07Insist on Highest Standards
08Think Big
09Bias for Action
10Frugality
11Earn Trust
12Dive Deep
13Have Backbone
14Deliver Results
15Strive to be Earth's Best Employer
16Success and Scale
How it works

Four steps from cold start to interview-ready.

01

Tell us your target

Pick the company, level, and round. We filter the question bank and calibrate the bar to that loop.

02

Practice out loud

Pick a coach persona, hit record, and answer like you would in the room. 1–3 minutes per answer.

03

Get STAR-scored feedback

Whisper transcribes; Claude scores. You see Situation, Task, Action, Result — plus the one fix that matters.

04

Bank the story

High-scoring answers join your story bank. We track which leadership principles you've covered and which you've ducked.

Pricing

Free to try. Pro when you're serious.

Five free coaching sessions to make sure it works for you. Upgrade when you want unlimited practice and Memory Coaching across your full prep cycle.

Free

Try it on your next prep day.
$0/forever
  • 5 coaching sessions per week
  • Full 60-question bank
  • STAR Coach + Growth Mode personas
  • Readiness score and history
  • One target company at a time
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FAQ

Behavioral interview prep, answered.

Everything engineers ask before they sign up. Still unsure? Try a free session — it takes about three minutes.

STAR stands for Situation, Task, Action, Result. It's a four-part framework for answering behavioral interview questions like 'Tell me about a time…' Situation sets the scene, Task names what you owned, Action is what YOU specifically did, and Result is the measurable outcome. FAANG interviewers — especially at Amazon — score answers against this rubric, and a missing letter is the most common reason a strong story gets a weak signal.

Build a story bank of 8 to 12 high-signal stories from your work history, map each one to the competencies your target company tests (Amazon's 16 Leadership Principles, Google's Googleyness, Meta's signals), then practice them out loud against an AI coach until each story scores 7+ on STAR structure, scope, and ownership. Out loud is the part most people skip — and it's where the real signal lives.

Amazon behavioral loops are structured around their 16 Leadership Principles. Common openers include 'Tell me about a time you had to make a decision with incomplete information' (Bias for Action), 'Describe a time you disagreed with a manager' (Have Backbone), and 'Tell me about a time you took on something significant outside your responsibility' (Ownership). The Bar Raiser interviewer goes deep on follow-ups and is specifically calibrated against the principles you appear weakest on.

You answer out loud — by voice, like the real interview. We transcribe with Whisper, score the answer against a STAR rubric calibrated to your target company, and remember every story you've told so the next session builds on the last. Generic AI can read you a question; it can't grade your delivery, track ambiguity coverage across 16 principles, or notice you've been ducking Ownership for three weeks.

Median user reaches a Readiness score of 70+ in 14 days of daily practice — about 25 minutes a day. Heavy practice (3 sessions a day) gets you there in 5 to 6 days. Readiness combines STAR average, competency coverage across 16 principles, and your bankable-story count.

Amazon (16 Leadership Principles), Google, Meta, Stripe, Shopify, Atlassian, and Grab on day one. The question bank is filtered by company target, and coaching feedback is calibrated to that company's bar. Amazon is the deepest because it has the most explicit rubric — but the coaching loop works the same for any behavioral round.

Behavioral interviews are universal. Series-B startups, banks, consulting firms, and internal-mobility loops all use 'Tell me about a time' questions and most are loosely calibrated to the same competencies the FAANG bar tests for. Practice on the harder bar and the easier ones get easier.

Yes. Audio is sent to OpenAI Whisper for transcription only and is not retained for training. Transcripts and scores are stored on your account so you can review them; you can delete any session at any time, and the entire account purge is one click in Settings.

Start today

The loop is in two weeks.
Your first session is in two minutes.

Five free coaching sessions, no credit card. Pick a question, hit record, get a score. That's the whole onboarding.