Dashboards
Built pricing and performance views using retail and household data.
Simply Good Foods
Los Angeles / Summer 2025
Consumer research
& retail analytics
I built dashboards, synthesized consumer research and presented findings during my internship with the team behind Quest, Atkins and OWYN. My work connected retail and household data with questions about products, purchase behavior and brand strategy.
A summer in Los AngelesMy work at a glance
Research synthesis
Wrote survey questions and presented consumer findings to brand leadership.
Data audit
Reviewed classifications and duplicate product codes before interpreting comparisons.
The assignment
Evidence for brand and category decisions
I worked with consumer feedback, retail reports and household purchase data to support the strategy and insights team. I organized the analysis around the question at hand, whether that meant comparing performance, checking data quality or explaining what consumers said.
The summaries below describe my contributions. Internal findings, figures and product concepts remain confidential.
Selected contributions
Selected contributions
Each assignment called for a different kind of thinking: asking better questions, comparing the right measures, checking the source, or making a recommendation clear.
Consumer insights
Consumer research
I synthesized consumer responses to explain product perceptions, purchase drivers and questions for further research.
What I did
- Wrote and structured questions for a qualitative survey using video responses.
- Helped develop concept and early buyer research through Walmart Luminate and Scintilla.
- Synthesized survey responses into an insights presentation and presented findings to brand leadership.
Value to the team
I organized consumer feedback into a clearer explanation of purchase drivers, perceptions, and questions for further evaluation.
Work produced: survey questions, research synthesis, and a leadership presentation.
Retail & household data
Retail & household data
I built views that brought pricing, category performance, and household purchase behavior into a more usable format.
What I did
- Built a pricing dashboard to compare retail information across channels and periods.
- Combined Circana and Numerator reports to examine category size and household buying behavior by product format.
- Created performance dashboards comparing sales, share, and growth across brands and time periods.
Value to the team
I condensed multiple reports into organized views that supported category planning and leadership discussions.
Work produced: pricing analysis, category summaries, and performance dashboards.
Data integrity
Data quality
Comparisons depend on how products are grouped and counted. I examined those details as part of my analysis.
What I did
- Compared standard and custom data hierarchies to check whether products were represented consistently.
- Reviewed item classifications and duplicate product codes.
- Organized discrepancies and measurement limitations for review and follow up.
Value to the team
I made potential reporting issues easier to trace, giving the team a clearer basis for checking comparisons before using them.
Work produced: a data audit and an organized record of items needing review.
Research translation
Research translation
I translated category research and industry information into materials for strategy and nutrition leadership audiences.
What I did
- Helped build a category education deck connecting shopper behavior, market trends, and competitive context.
- Translated a NielsenIQ industry webinar into a concise readout for the strategy team.
- Prepared a focused insights brief tailored to a nutrition leadership audience.
Value to the team
I brought dispersed information into a shared reference and made the most relevant points easier to find and discuss.
Work produced: category education slides, an industry readout, and a tailored brief.
Digital & brand strategy
Digital & brand strategy
I explored digital commerce and brand collaboration through research, competitive examples, and audience fit.
What I did
- Benchmarked TikTok Shop activity and researched examples from food, beverage, and adjacent categories.
- Built and presented a deck organized around the situation, complication, and recommendation.
- Framed collaboration concepts around industry context, brand fit, and channel relevance.
Value to the team
I gave the team a structured set of examples and reasoning to consider in future marketing discussions.
Work produced: competitive research and strategy presentations. Concepts remained proposals, not partnerships I launched.
How I approached the work
A useful analysis
answers the next question.
01
Define the question.
Clarify what the team needs to understand and which audience will use the work.
02
Pull and compare.
Work with the relevant reports or consumer responses and organize the comparison.
03
Check the context.
Look at product groupings, time periods, and data limitations before interpreting a pattern.
04
Explain the meaning.
Turn findings into a presentation that connects the evidence to a business question.
The creative side
Content for the Quest audience
I also partnered with the social media manager on a Quest intern takeover, helping plan and film short videos for TikTok and Instagram Reels.
That work let me contribute in a different way: move from analyzing a brand’s audience to creating content for it.
What I brought to the team
Analysis people can use
Make information usable.
I built dashboards and presentations that organized complex research around a question.
Pay attention to accuracy.
I checked classifications and measurement limits instead of treating every reported figure as ready to use.
Connect evidence and ideas.
I brought consumer research, market context, and creative thinking into the same conversation.