Describe a time when you had to make a recommendation based on incomplete information. What did you do?
RoleBusiness Analyst
DifficultyEasy
TopicBehavioral
Asked at
Why This Is Asked
Given LT Group's diverse subsidiaries, analysts might not always have access to perfectly clean or complete data from all business units, so resourcefulness is key.
General Approach
Use the STAR method to show how you acknowledged the gap, found creative proxies, and made a decision that balanced risk. Emphasize clear communication of assumptions.
General Answer
Start by acknowledging the gap out loud, not as an excuse but as a fact, then show your first instinct is to find workarounds rather than stall. Explain that you broke the problem into what was known, what was missing, and what could be reasonably estimated, then you sourced substitutes from adjacent systems, past reports, or even quick interviews with frontline staff who handle the data daily. In a Philippine setting, this often means reaching out to a counterpart in another subsidiary or asking a tenured teammate who knows the quirks of legacy spreadsheets, so frame that as a normal, proactive step. Say plainly that you made your recommendation conditional on your assumptions, and that you flagged the confidence level of each one, for example, "this forecast holds if the exchange rate stays within the range we saw last quarter." Then describe how you offered a decision path that was reversible or low-cost if the missing information turned out to be critical, like piloting on a small scale first. Close by emphasizing that you documented every assumption and shared them with stakeholders before they acted, so no one was surprised later. That combination of resourcefulness, transparency, and risk awareness is what they want to hear.
PH Interview Gotcha
A common mistake is to say, 'Sorry po, wala kasing data, kaya hindi ko na lang tinuloy.' This shows lack of initiative. Instead, say: 'I identified the data gaps, then sought alternative sources and clearly communicated the limitations of my analysis.'
Sample STAR Answer▾
S
Situation
In my previous role as a research assistant for a small market research firm, we were tasked with estimating the market size for a new product in a region where official data was unavailable.
T
Task
I had to provide a reasonable estimate and a go/no-go recommendation to the client within a week, even though we lacked the usual government census data.
A
Action
I gathered what data we could from local trade associations and news articles. I then used proxy data from a similar region with known statistics, adjusting for population and income differences. I clearly labeled all assumptions and presented the estimate with a confidence range, recommending a small pilot launch to test the market before full investment.
R
Result
The client appreciated the cautious yet actionable recommendation, and the pilot launch validated our estimate within a 10% margin. This built trust for future projects.
Key Takeaway
Transparency about assumptions and limitations builds credibility when data is incomplete.
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