If you had to prioritize features for a new digital banking product with limited resources, how would you approach the decision-making process?
RoleBusiness Analyst
DifficultyDifficult
TopicCultural Fit
Asked at
Why This Is Asked
Senior leader interviews at Maya evaluate strategic thinking; this question tests how you balance trade-offs in a resource-constrained fintech environment, though no specific question is documented.
General Approach
Mention a prioritization framework (e.g., RICE, weighted scoring), incorporate data from multiple sources, and show how to build consensus among stakeholders.
General Answer
Start by grounding your answer in the product's core purpose, because in a digital banking context every feature you choose either builds trust or breaks it, and with limited resources you cannot afford to dilute that trust. Say plainly that you would first define the product's north star metric, whether it is active users, transaction volume, or deposit growth, and then filter every proposed feature through that lens. From there, explain that you would score each candidate using a weighted framework like RICE, but be honest that the reach and impact numbers must come from real sources, such as user interviews, support tickets, and analytics, not from gut feel. Then describe how you would bring stakeholders into the room, including product, engineering, compliance, and customer service, and ask each to argue for their priority while you keep the scoring visible, so the trade-off is transparent and not political. Finally, mention that you would also factor in regulatory constraints from BSP and DOLE-related operational realities, since a feature that passes the score but fails a compliance check is a silent risk. Conclude by saying you would ship the smallest viable version of the top scorer, measure it against your north star, and be ready to cut it fast if the data says otherwise.
PH Interview Gotcha
Candidates might say 'I will ask my manager' or 'I will choose the easiest one,' displaying a lack of strategic thinking. Instead, demonstrate a structured, data-informed approach.
Sample STAR Answer▾
S
Situation
While advising a fintech startup, I was asked to help the product team prioritize a backlog of 30 potential features for their mobile wallet app.
T
Task
I needed to recommend a prioritization framework that balanced business objectives, user needs, and technical feasibility.
A
Action
I proposed a weighted scoring model where features were rated on estimated revenue impact, alignment with strategic goals, customer demand (from survey data), and implementation effort. I facilitated a workshop with product, engineering, and marketing leads to assign weights and score each feature. The model ranked features transparently, showing a clear top five.
R
Result
The team focused on the top three features, which after launch increased average transaction size by 8% and user retention by 12% within the first quarter.
Key Takeaway
Transparent frameworks align cross-functional teams and depersonalize tough prioritization decisions.
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