Candidates applying for Growth Manager roles take an average of 15 days to get hired, when considering 2 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 Growth Manager according to 2 Glassdoor interviews include:
Phone interview: 33%
Other: 33%
One on one interview: 17%
Skills test: 17%
Here are the most commonly searched roles for interview reports -
Highly impersonal process. Case studies before talking to humans and no feedback after investing substantial time in the process. Feels like a bad implemented version of AI interviewing . Really telling in terms of the culture of the company and process. Efficiency and robotic inhuman process. Not worth your time investment and I wouldn’t recommend l. Be aware. Unfortunately I spent my time on this before reading the other reviews here to realize it’s a waste of everyone’s time, except clipboard since their time is so precious to invest in candidates who are interested in joining the company.
Interview questions [2]
Question 1
Just like everyone shared here. A case study before talking to a human. No response after spending 8+ hours in a case. Highly in-personal company and process. Appreciate the efficiency but you can tell what kind of culture this company is all
About. Not a place that I’d recommend investing your time in.
I applied online. The process took 2 weeks. I interviewed at Clipboard (New York, NY) in Mar 2023
Interview
I'll echo much of the negative comments left below. I initially spent around 6 hours completing the first part of their case (which asks for 1-2) hours, since I was enthusiastic about the company. After submitting it, I realized it was strange they were asking you to solve their actual problems, with their actual data. I decided to Google search their interview process and found this site. After reading all the negative comments, I wasn't sure if I would continue with the process if I was passed. I did pass and ultimately decided to move ahead, but only put in the recommended time (8 hours to complete). I'd solved many similar problems while getting an analytics degree from a top business school, so I think objectively my solution was solid. However unsurprisingly, I did not advance to the next round. I suspect to advance, I would have needed to put in closer to 20 hours (not 8) of free work to have a solution that stands out, or be someone whose full-time role has been solving the exact issue. What's also suspicious is that the role has been actively posted on LinkedIn and other sites for months, each time getting hundreds of applicants. I think if they really wanted to hire someone, it wouldn't be that difficult. I can't say that their intention is free labor/ideas, but at a minimum the process is exploitative without either 1) providing insights into how many people are being given the assignment (it seems they use the first case assignment as a resume screen, with the illusion you are a top candidate for consideration) or 2) offering to compensate interviewees for their time. I'll chalk this one up to a lesson learned. TLDR: Unless you think you can submit a standout solution that is probably one of dozens/hundreds(?) do yourself a favor and avoid this company and their exploitative interview practices.
Interview questions [1]
Question 1
I was provided with 3 different datasets and was asked to solve these questions (the latter 3 are only revealed after you pass the initial screening): 1. What was CAC (customer acquisition cost) in October? 2. How much would you be willing to increase the referral bonus in Los Angeles and Nashville? Why? 3. We find that there are two problems we need to solve in acquiring HCPs: the first - core marketplace - is about increasing fill rate (the percent of shifts posted by facilities that are booked by HCPs) across all MSAs; the second - GTM - is about acquiring workers quickly when demand spikes in an MSA. Which problem - core marketplace or GTM - would you prioritize? What is the value of solving that problem to Clipboard? 4. For the problem you chose in question 3, what is your best bet to improve it? What other ideas did you consider but discard? Why? 5. For the bet you described in question 4, how would you test it? How would you measure success? If the bet didn’t work, what’s the most likely reason?