Intuit Interview Questions
Practice 42 real Intuit interview questions for 2026. Covers top categories with a software-engineering and coding emphasis — Coding & Algorithms, System Design — followed by Data Manipulation (SQL/Python), Analytics & Experimentation, Machine Learning, and behavioral rounds. Intuit interview questions on this page reflect what hiring teams evaluate in interview preparation: clear algorithmic thinking, pragmatic product sense, metric-first analytics, and clean, testable code. Expect a mix of live coding, take-home/build tasks, SQL/Python data pivots, an applied experiment or metric-design prompt, and behavioral storytelling tied to impact and ownership. For specific roles, sample themes repeat across positions. Software Engineer interviews focus on algorithm and complexity problems (stack/DP/LRU-LFU patterns), scripting and parsing tasks (bash, filename/ls output), SQL aggregation, and AI feature design and prompt constraints. Data Scientist rounds concentrate on feature engineering and missing-data imputation (ZIP handling), classification metrics (precision/recall/F1), cohort and retention analysis, experiment design and KPI diagnosis, plus hands-on SQL/Python pivots and predictive-model exercises. Product Analyst questions center on experiment design for funnels, multi-entry scorecard interpretation, and dealing with unavailable predictive features. Use mixed practice: timed coding drills, SQL pivot exercises, clear metric writeups, and concise behavioral STAR examples.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
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"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
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"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Build cohort 30-day retention from signup date
This question evaluates a data scientist's competency in cohort analysis, retention metric computation, handling right-censoring and edge-case treatme...
Produce valid student lineup from parent array
This question evaluates understanding of rooted tree hierarchies, parent-before-child ordering constraints, and lexicographic minimality when construc...
Design prompts for JSON-only LLM responses
Design an LLM request that returns strict JSON only Context You are designing a backend call to an LLM for a technical screen (System Design & Enginee...
Design an experiment to evaluate an onboarding progress bar
Scenario In a QuickBooks-like onboarding flow, the product team adds a progress bar. The onboarding has 4 steps: 1. Onboard 2. Send payment 3. Set up ...
Aggregate transactions by status and failure reasons (SQL)
You are given a table transactions with (at least) the following columns: - transaction_id (unique identifier) - status (e.g., SUCCESS, FAILED, PENDIN...
Walk through resume and share behavioral examples
Behavioral Prompt — Software Engineer Technical Screen Context: In a technical screen for a Software Engineer role, you are asked to succinctly commun...
Solve word segmentation and React palindrome validation
Part A — String segmentation: Given a non-empty string s and a dictionary of valid words, design an algorithm to determine whether s can be segmented ...
Design an experiment for pricing page redesign
A product team is redesigning a pricing tier page. Historically the page only offered a monthly plan; the redesign adds an annual plan option. You are...
Compute monthly signups, conversion, and YoY growth
You work at a subscription company and are given a user-level table. Table company_users - id (INT, PK) — user/customer id - signup_date (DATE) — date...
Extract insights from a multi-entry funnel scorecard
Scenario You are given a scorecard for a QuickBooks-like product showing a funnel by access point (15+ entry points, highly skewed traffic). For each ...
Handle missing and unavailable predictive features
Scenario You are building a model to predict whether a user will successfully file taxes (binary label success) for a TurboTax-like product. One of th...
Design an idempotent churn ETL pipeline
You must build a daily pipeline that produces month-end churn metrics (logo churn, gross revenue churn, net revenue retention) from streaming subscrip...
Compute Cohort Retention Rate
You are given two tables: - users(user_id BIGINT, signup_ts TIMESTAMP) — one row per user. - user_activity(user_id BIGINT, activity_ts TIMESTAMP, even...
Implement nth Fibonacci number
Implement nth Fibonacci number Problem Write a function that returns the n-th Fibonacci number. The Fibonacci sequence is defined as: - \(F(0)=0\) - \...
Compute paid subscriber YoY counts by month
Write a single SQL query (PostgreSQL) that returns calendar-month counts of new paid subscribers starting from 2019-06-01 (inclusive) through the late...
Compute monthly new subscribers and YoY deltas
Write a single SQL query that returns monthly counts of new subscribers starting at 2019-06, plus year-over-year (same-month prior year) comparisons. ...
Find Business Degrees of Separation
Implement a feature for a small-business network. QuickBooks has data showing business relationships, such as one business regularly buying goods or s...
Validate bracket sequence
Given a string s containing only the characters (, ), [, ], {, and }, determine whether the brackets are properly matched. A string is valid if: - Eve...
Pivot daily users and revenue by platform
You are given transaction-level data and need daily aggregates by platform. Input (Pandas DataFrame) df with columns: - file_date (DATE or string pars...
Exclude free subscribers via anti-join
Extend your previous monthly new-subscriber + YoY query to exclude companies that ever received a free subscription, using an anti-join against Free_S...