Not Sure interview process & guide 2026
Everything we know about interviewing at Not Sure: the process stage by stage and what each round tests.
- 1Initial Screening
- 2Behavioral Interviews and Scenario-Based Questions
- 3In-Depth Interviews and Technical Interviews
- 4Technical Assessments and Coding Assessments
- 5Final Interviews, HR Round
Interviewing at Not Sure
You can expect an interview process that starts with resume and fit, then moves quickly into deeper evaluation. The stages described across roles include an Initial Screening, Behavioral Interviews, In-Depth Interviews, and multiple forms of scenario and technical checks, plus a final set of interviews that can include HR and salary or culture discussions.
What they test most strongly is technical depth plus structured problem solving. Across the extracted topics, DSA is at the top (percentile 100), and SQL, DBMS, and QA or sales-analytics specific topics are all very prominent (SQL at percentile 96, DBMS at percentile 93, and Marketing Analytics, Software QA, and Sales Pipeline Management each at percentile 100). Communication Skills (soft skills and leadership) is also highly prominent (percentile 90), so you will be evaluated on how you explain your thinking, not just the final answer.
The data you have does not show offers being made, the offer rate is reported as 0.0%. Candidate sentiment is 59.0% positive, which suggests that many candidates felt at least one part of the experience went well, but you should not assume a typical offer outcome from the reports you received.
Even though the process includes behavioral and HR-style conversations, the topic distribution shows a heavy emphasis on technical fundamentals: DSA, SQL, and DBMS are consistently top-tier across the question set, so do not treat the soft-skill rounds as separate from the technical bar.
How hard is the Not Sure interview?
Aggregated from 105 interview experiencesAbout 1 in 2 candidates with a known outcome convert.
The interview process, end to end
5 rounds · based on 105 candidate reports- 1Initial Screening
You discuss your resume in depth and cover basic qualifications and fit. This is described as the first stage where candidates are evaluated for baseline fit.
- 2Behavioral Interviews and Scenario-Based Questions
You answer behavioral and scenario-based questions using real-world challenge handling. Expect your ability to explain your approach in discussions to be part of what they evaluate.
- 3In-Depth Interviews and Technical Interviews
You go through more detailed interviews with team members focusing on analytical skills, problem-solving, technical skills, and cultural fit. The topic set indicates strong emphasis on DSA plus SQL and DBMS, along with role-specific technical content like QA, marketing analytics, or sales pipeline management.
- 4Technical Assessments and Coding Assessments
You may complete coding assessments, and technical assessments may include coding tests or system design challenges. If you are interviewing for a marketing analytics role, there may also be practical assessments or case studies.
- 5Final Interviews, HR Round
You may complete final interviews that vary by team or role, and there can be an HR round focused on salary and workplace culture. One additional described stage is an in-depth discussion of experience and problem-solving capabilities.
What Not Sure actually tests for
How prominent each skill is across reported loopsFind the guide for your role
This is your next step: open the guide for the role you are interviewing for. Each one carries the questions Not Sure interviewers actually ask that position, the loop structure, and pay by level.
What separates offers from rejections
Patterns from candidates who got offers, and the mistakes that most often sink a loop.
Do this
- Go into the initial screening ready to discuss your resume in depth, because the reported focus is resume and basic qualifications, and this is the first evaluation stage for fit.
- Practice explaining your approach step-by-step for scenario-based and in-depth interviews, since multiple stages explicitly test your problem-solving discussions, not only answers.
- Prepare for technical questions that map to the top topic areas: DSA plus SQL and DBMS, and for the role you are applying to, also align with that role's technical area (for example, Marketing Analytics for analytics roles, Testing and Quality Assurance for QA roles).
- If you get a coding assessment or technical interviews, treat them as part of the core evaluation, because the process includes multiple technical assessment formats like coding assessments and technical interviews.
Avoid this
- Do not assume the process is mostly behavioral. Communication Skills matter, but DSA, SQL, and DBMS are at the highest prominence levels in the extracted topics, so you need strong technical preparation in parallel.
- Do not give only a final answer in scenarios or in-depth discussions. Several stages describe evaluating your problem-solving approach through discussion, so your explanation and structure are part of the assessment.
- Do not rely on one technical theme. The extracted topics span DSA, SQL, DBMS, and role-specific areas like Software QA and Marketing Analytics, so you need breadth plus role alignment.
- Do not plan around a likely offer outcome based on these reports, since the reported offer rate is 0.0%. Focus on performing well in each stage, but do not assume the data implies easy conversions.
Not Sure interview FAQ
Answered from real candidate and workplace dataWhat does the interview loop actually look like here?
Across reported roles, the loop starts with an Initial Screening that discusses your resume in depth. Then you see Behavioral Interviews and In-Depth Interviews, which are paired with scenario-based questions and additional technical interviews or assessments, and may end with a final HR round that includes salary and workplace culture discussions.
How hard are the interviews?
From candidate reports, 35.0% are categorized as easy, 51.5% as medium, 12.6% as hard, and 1.0% as very hard. This suggests most questions fall in the medium band, with a smaller portion of harder evaluations.
What topics should I prioritize most?
The most prominent topics in the extracted question set are Data Structures & Algorithms (percentile 100), Marketing Analytics (percentile 100), Software QA (percentile 100), and Sales Pipeline Management (percentile 100). You should also prioritize SQL (percentile 96) and DBMS (percentile 93), plus Communication Skills (percentile 90), because those are also very prominent.
Is there a coding test or practical exercise?
Yes. The process includes Technical Assessments such as coding tests or system design challenges, and Coding Assessments where you may be required to complete coding tasks. For marketing-analytics related hiring, Practical Assessments or case studies are also described.
Do candidates get offers, and what is the offer rate?
The candidate reports you have show an offer rate of 0.0%. That means you should not expect conversions based on this dataset, even though Positive sentiment is 59.0%.
Can I re-apply if I do not pass?
The supplied data does not mention re-application or any policy on re-trying after a no-pass decision. You would need additional company-specific guidance to answer that.
Related company guides
Companies that hire for the same data roles
Ready for your Not Sure interview?
Practice the exact questions from this guide with AI feedback, and walk into your loop knowing what to expect.