To my surprise, this generative study revealed that there are no viable product opportunities for a startup wishing to pursue the “new managers in tech” market. The study began by asking “What are the top struggles that new managers in tech face?” hoping to uncover a new product opportunity.
Instead, the study found that new managers’ top struggles revolve around the engagement and professional development of their direct reports.
This is a practice project that I did under the guidance of a UX Research coach. The project’s goals were to discover problems new managers in tech face and to present those problems as potential opportunities a startup could address with a software product. My personal goal was to hone my generative research skills.
Gain clarity on the context of each struggle, who is involved, when it happens, and how the manager responds
Why?
Research sub-questions:
Why?
Why?
Why?
Attribute: Manager
Question: Please select your experience level.
Options: [Entry-Level / Associate (reject) ; Mid-Level / Experienced (reject) ; Senior / Lead (reject); Principal /Advanced (reject) ; Manager / Director (accept) ; Vice President (reject) ; C-Level / Executive (reject)]
Question Type: Radio
Attribute: >0, ≤3 years’ experience
Question: How many years of management experience do you have?
Options: [No experience (reject) ; Less than 1 year (accept) ; 1-3 years (accept) ; 4-7 years (reject) ; 8+ years (reject) ]
Question Type: Radio
Attribute: Tech company
Question: What types of professionals do you manage?
Question Type: Short-text box
Prior to all sessions I asked for participants' permission to record them. During the sessions, I used Google Meet's recording feature to capture audio and video. After the sessions, I used Otter.ai to transcribe the interview. By using Otter.ai instead of hand-transcribing it, I saved 3X the session time, every time!
First, I created codes to represent each of the research sub-questions.
Then, I coded each interview.
Finally, I pulled out the quotes and coded data, and put it all on a “data wall”.
First, I grouped coded data into themes on Miro.
Then, I identified the most salient themes (i.e. new managers' top struggles).
Finally, I returned to the coded data, pulled out details from the text, and compiled evidence for each of the themes.
Study Key Takeaway
Participants called out 3 problems that could potentially be addressed with software, but the problems did not represent promising opportunity spaces for a small startup to pursue. The problems were:
These problems are either already addressed by much larger incumbents in the market, or they are not significant problems.
The more pressing problems the new managers talked about were related to keeping their employees engaged. New managers’ top struggles were:
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