Tell me about a time when you assisted a colleague in his work.What was the result?

Question

Anonymous · Accepted Answer

I was part of a large program which did the gift registry modernization for a
large retailer. I was leading the data modeling and migration, and a colleague
was leading the front-end development. This was a large program involving a lot
of vendors and status and progress were discussed daily in a meeting. I found my
colleague struggling to provide an accurate progress report - specifically he
could not come up with some of the estimates and dates for his items. I decided
to help him out and started talking to him on his process. He mentioned that he
was a first time project manager and was struggling to get data from another
team to calculate his estimates. We brainstormed together on what the other
teams' output and delivery dates can be and came up with few assumptions. My
colleague was able to come up with some numbers and dates based on the
assumption. I also coached him to present the numbers as an estimate like "As
per out assumption, which is X, I have 80% level of confidence that Z API will
take 100-125 hours to develop and will be completed by the weekending 15th
February". This opened up conversations and provided more data. My colleague was
able to give more accurate estimates and dates within the meeting itself.

Anonymous · Answer

A colleague approached me seeking assistance with a complex coding challenge.
They were struggling to optimize a particular algorithm for a project. I offered
to review their code and provide insights into potential improvements. After
analyzing the code together, we identified areas where they could refactor
certain functions to make them more efficient. Additionally, I suggested
alternative approaches that might yield better performance.
As a result of our collaboration, my colleague was able to implement the
suggested changes and significantly improve the speed and efficiency of the
algorithm. This not only helped them meet project deadlines but also enhanced
the overall performance of the system, leading to positive feedback from
stakeholders. Our collaboration strengthened our professional relationship and
fostered a culture of knowledge sharing within the team.

Anonymous · Answer

Question: Tell me about a time when you assisted a colleague in his work. What
was the result?
Answer:
Sure. I really enjoy helping others on the team, especially when they’re stuck
and not sure how to move forward.
S – Situation:
Once, someone on a neighboring team was struggling with a production issue for a
few days. I noticed that he seemed frustrated and wanted help, but didn’t quite
know how to ask.
T – Task:
After finishing my work early one day, I proactively messaged him on Teams and
offered support. He was happy, but mentioned he wasn’t even sure how to describe
the problem clearly.
A – Action:
So I sat down with him and tried to understand the issue. He told me that after
one of his code changes went live, a dropdown component in our shared UI broke —
its layout was completely messed up, even though his change didn’t touch that
component directly.
I helped him debug the issue step by step. After ruling out rendering or layout
bugs, I noticed the problem was actually due to a CSS variable conflict — the
styles weren’t properly isolated, which caused unexpected overrides.
Together, we fixed the CSS scoping issue and verified the dropdown worked as
expected.
R – Result:
The bug was resolved and the fix was shared with the wider team via email, to
prevent similar issues in the future. My teammate was really grateful, and after
that, our collaboration improved significantly.

Anonymous · Answer

Effective teamwork is about lifting others up, and I had an opportunity to do
just that when I mentored a colleague struggling with data cleaning and Power
BI.
At my previous role as a Senior Data Science Consultant, I worked on a data
analytics project where a colleague from a different team was responsible for
building Power BI dashboards. However, they struggled with data cleaning,
preprocessing, and structuring the data efficiently for visualization. Their
challenges were leading to inaccurate reports, slow performance, and stakeholder
frustration due to delays.
The colleague was not familiar with best practices for data cleaning and was
spending too much time manually fixing data inconsistencies instead of using
efficient preprocessing techniques. Additionally, they were unfamiliar with
Power BI’s advanced data modeling features, leading to incorrect aggregations
and report inconsistencies.
To help them, I implemented a structured mentorship approach by using different
learning and support strategies:
 1. Hands-On Learning: Instead of overwhelming them with theory, I conducted
    live working sessions where we cleaned sample datasets together using Python
    (Pandas) and Power Query.
 2. Breaking Down Data Cleaning: I introduced them to automated data
    preprocessing techniques (e.g., handling missing values, standardizing
    formats) to reduce manual work by 50%.
 3. Building a Power BI Framework: I showed them how to structure their data
    models properly, use DAX functions for dynamic calculations, and create
    efficient relationships between tables.
 4. Step-by-Step Documentation: I created a beginner-friendly guide outlining
    common data cleaning issues and solutions, along with Power BI best
    practices, so they could refer to it later.
 5. Follow-Up & Continuous Learning: I scheduled weekly check-ins to review
    their progress, answer questions, and troubleshoot issues, ensuring they
    became independent and confident in their work.

This approach 
    Reduced their data cleaning time by 60%, making their workflow more
efficient.
   Improved report accuracy, leading to faster and more reliable insights for
stakeholders.
   Boosted their confidence in Power BI, enabling them to take ownership of
dashboard development
    independently.
   Strengthened cross-team collaboration, fostering a supportive learning
culture in the organization.
    This experience reinforced my belief that mentorship is about empowering
others with the right tools and             
    mindset rather than just providing answers.
    I learned that tailoring training to an individual’s learning
style—combining hands-on practice, 
    documentation, and continuous support—is the most effective.

Anonymous · Answer

As an engineering manager at the Flutter Team I had the opportunity to help
colleagues and reports in their work. One example was helping a colleague to
design and implement mac and ios code signing. Neither of us had experience with
code signing but I volunteered to help him experiment and collect all the
information required to implement automated and secure code signing. I helped
with getting access to the Flutter’s Apple developer account, debugging signed
binaries and libraries causing issues, etc.
The outcome of assisting this colleague was services and tooling to fully
automate the code signing process during the release process. Personally it
helped me understand the product workflows and create strong work relationships
with colleagues.

Anonymous · Answer

At my last job a few of us created a group chat so if any of us had a question,
they could ask it there. As a result we had the ability to build each other up
and we were more comfortable asking/answering questions for each other which
made our skills stronger and built stronger     friendships amongst ourselves.

Anonymous · Answer

I can tell you a story when I was a student because I was not working before
helping my friend to produce her report with some observations and arrangement
of tables and in her memoirs with some ideas to improve it for example location
of photos, titles, and deletion of some details which are not interesting

Tell me about a time when you assisted a colleague in his work.What was the result?

Did you come across this question in an interview?

Answers

Unlock Community Insights

Unlock Community Insights

Unlock Community Insights

Unlock Community Insights

Unlock Community Insights

Unlock Community Insights

Unlock Community Insights

Try Free AI Interview

Google

Product Manager

Meta

Product Manager

Meta

Engineering Manager

Amazon

Data Scientist

Also asked as