Product Manager applicants have rated the interview process at Clipboard with 3.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 5% positive. To compare, the company-average is 21.2% positive. This is according to Glassdoor user ratings.
Candidates applying for Product Manager roles take an average of 16 days to get hired, when considering 57 user submitted interviews for this role. To compare, the hiring process at Clipboard overall takes an average of 16 days.
Common stages of the interview process at Clipboard as a Product Manager according to 57 Glassdoor interviews include:
Skills test: 29%
One on one interview: 24%
Presentation: 18%
Other: 13%
Phone interview: 10%
Personality test: 3%
Background check: 2%
Group panel interview: 2%
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High investment for the two case studies, but I enjoyed them. In total there are four rounds of interview, two about the first case study and two about teh second. Made it to final round but ended up not getting the job
Interview questions [1]
Question 1
Two different case studies: One with their billing data, one where you have to develop an MVB (Minimally Viable Brief), which tests applicants on needfinding abilities (have to interview other people in a specific industry to understand their pain points) and solve their needs with a product idea
1. Takehome
2. Interview about the takehome
3. Another takehome...
4. A call about the second takehome
5. Unknown after that
Very frustrating overall. Did not feel respected as a candidate. Did not receive feedback on the case. Extremely unimpressed with the process.
Interview questions [1]
Question 1
1. Takehome
2. Interview about the takehome
3. Another takehome...
4. A call about the second takehome
5. Unknown after that
I spent several days doing the take home case study. I was rejected with no feedback with a general email response. It was a waste of my time & honestly wish I hadn't taken the bait.
Interview questions [1]
Question 1
As the pricing PM for Lyft's ride-scheduling launch in Toledo, how would you determine the optimal driver payout (by adjusting Lyft's take, without raising the $25 rider price) to maximize net revenue over the next 12 months given the provided CAC, churn, ride volume, match-rate, and pricing experiment data?
Several different case studies and behavioral rounds felt like they were farming ideas rather than actually interviewing someone to join the team. The questions weren't difficult, and the case studies weren't challenging. The interviewer definitely didn't read the case study because the feedback I received was generic and also addressed directly in my answers in the case study. Like others have already stated, negative interview process. Plus as soon as I was rejected, I got an interview request from someone else on the team for the same role!
Interview questions [1]
Question 1
Provided a google sheet with shift data and asked to do an analysis on the marketplace model they have. Come up with ideas on improving the platform based on the data.