Pan Wang

Welcome to my website!

About Me

I am a behavior scientist with 10+ YoE running end-to-end quantitative research (5 YoE in product research) and managing research vendors. My tenure at Meta equipped me with substantial expertise in designing and executing surveys and interviews across multiple countries and languages. I have a proven track record of shaping business and product opportunities by translating data into actionable insights.


Armed with graduate degrees in both psychology and statistics, I consider myself primarily a quantitative researcher, complemented by occasional qualitative research endeavors. My strengths lie in distilling concise and impactful insights by triangulating diverse data sources, including attitudinal data (surveys, qualitative research), behavioral/log data, and 3rd party data (e.g. geospatial data).


Skills

Programming

Method

Significance Tests, Multivariate statistics, Regression, Causal Inferences, Machine Learning, Data Visualization, Survey Sampling & Weighting, Segmentation, Experimental Design, User Interviews, Diary Study

Tool

Stata, SPSS, SAS, Tableau, Qualtrics, UserTesting, Dscout

Experience

Pinterest (Contract)


Feb 2024 - Current

Quantitative UX Researcher @ Monetization



Career Break


Jun 2023 - Feb 2024

Recharge and Learning

I toured China in June to recharge myself. After that, I strengthened my programming and algorithm skills with Python. I also picked up new skills in web development using HTML/CSS/JavaScript. This website is a testament to my capabilities in web development.

Meta platforms


Jun 2021 - Jun 2023

Staff Quantitative UX Researcher @ Growth

During this period, I supported both the Facebook and Instagram growth teams. My research at Instagrapm centered around decline among teen users, leading to a few net-new product initiatives and marketing campaigns that resonated with teens. In my work at Facebook, I focused on re-engaging users and people <> account relationships (e.g. shared accounts).

Feb 2019 - Jun 2021

Senior Quantitative UX Researcher @ Video

I supported Facebook Video team for most of this period. My research spanned across creator and publisher experience, fandom, video search, etc. Notably, I developed a sentiment tracking survey for Creator Studio (a content management tool for creators), findings of which doubled allocation of engineering resources to performance & reliability.

UCLA center for health policy research


Nov 2018 - Feb 2019

Acting Director @ Statistics Unit

As the acting director, I managed a team of three statisticians and oversaw the daily operation of the statistics unit. I recevied the award for stellar staff a few times prior to this role.

Nov 2016 - Nov 2018

Senior Statistician

I led data production for the largest state health survey in the US -- California Health Interview Survey (CHIS). By introducing natural language processing (NLP) to coding of open-ended questions, I enhanced work efficiency by 30%. Additionally, I played a key role in evaluating the sampling and weighting approaches proposed by research vendors during the design stage of CHIS.

Nov 2013 - Nov 2016

Statistician

As the lead statistician, I developed advanced predictive models for health estimates at small geographic area levels, such as zip codes. This initiative empowered the launch of AskCHIS Neighborhood Edition , a widely utilized data product among thousands of health professionals across various sectors.

University of Southern California


Aug 2009 - Nov 2013

Data Manager @ USC Twin project

As the data manager, I maintained the longitudinal database of 780+ family records for the Southern California Twin Project by developing programs in SAS and batch files & shell scripts in UNIX. I aslo supervised work study students on data entry, data compilation and data backup

Education

University of Southern California


Aug 2006 - Aug 2012

Ph.D. @ Quantitative Psychology

My desseration was about imputation of missing data using a Bayesian approach. While studying here, I worked as teaching assistant for a few years. I taught advanced regression analysis to graduate students, and assisted doctoral and postdoctoral fellows with their study design, scale development and data analysis.

Aug 2008 - Dec 2010

M.S. @ Mathematical Statistics

I minored in mathematical statistics and earned a master's degree after passing the screening exams.



Portfolio

Select projects from my past research.
Please click each project for more information.

Charts presented in each project were modified for demonstration purpose only

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Teens' Decline

Instagram had struggled with retainning and engaging teenagers. Against this background, I designed & launched a global survey with Instagram new users in 2022 to size top barriers for teens to join Instagram.

I played a key role in orchestrating the entire project, including deployment of the survey, data processing & analyses using SQL and RStudio and socialization of the findings.

Challenges

A few challenges emerged during communications of key findings to stakeholders:

  • How to interpret the relative role & importance of parent gatekeeping and lack of reason (to use Instagram), both of which were top reported barriers based on teens' responses to the survey? Resolved by a POV triangulating survey findings and market data.
  • What did 'having nothing to share on Instagram', the top driver for feeling no reason to use Instagram, actually mean? Resolved by follow-up interviews with select respondents, conducted in partnership with a qualitative researcher.

Impact

The findings have driven a few net new product initiatives and marketing campaings that aimed to encourage teens' willingness to share authentically on Instagram.

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Video Search

Intentional video consumption, primarily from video search, is critical for effective delivery of in-stream video ads. Hence Facebook wanted to optimize frequency and successes of video search on the platform. In response, I initiated & conducted a diary study in 2020, comparing search experiences on Facebook and YouTube in two distinct markets, the US and Mexico. Major research questions:

  • What caused the gap between Facebook and Youtube in video search? Specifically, ranking or inventory?
  • Why did Facebook see a big difference in video search engagment between the US and Mexico, despite identical UI/UX?

Challenges

Although I initially focused on supporting creators' experience and was not part of the video search team, I assumed a leading role in this project. This involved pitching the project to the search team, managing research vendors, conducting data analyses, and sharing findings with stakeholders.

Impact

This study provided not only tactical suggestions for UI/UX of video search in the short term (e.g. parity between WWW and mobile devices), but also strategic recommendations for the team to work towards in the long term (e.g. trending search, acquisition of how-to content).

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Intentional Churn

Meta aimed to migrate account deactivations and deletions (DnD) on both Facebook and Instagram into accounts center (AC), a centralized hub for managing account settings across Meta's apps. This transition would bring substantial changes to the DnD flow, particularly its entry point for users.

To explore potential improvements to the DnD flow, I initiated a side project in 2021, focused on analyzing log data of the DnD funnel, with consultancy support from data scientists. The goal was to identify areas for optimization, particularly in content design.

Challenges

One of the main challenges encountered was the sensitive nature of DnD settings and their direct impact on growth metrics like DAU and MAU. Hence access to DnD data required additional rounds of privacy reviews for permissions, and precise interpretation of the data was essential.

Implications

While the data did indicate opportunities to optimize the content of the DnD flow, the team decided to delay content changes until after the migration of DnD into the AC and the associated changes to entry points were completed. Socialization of this study would resume following the migration.

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Market Differences

Senior leaders at Instagram sought to understand the variability in teen user growth across developed markets (DM). In response, I led in-depth reviews of multiple surveys & log data, collaborating closely with data scientists and senior UXRs to deliver insights through the lens of jobs to be done (JTBD).

Challenges

Despite the project's scope and complexity, I was tasked with delivering results within a tight timeframe of four weeks. During this period, I managed to analyze data of two company-level brand tracker surveys for 6 markets from thest past 9 quarters, and triangulated it with parallel log data. My proactive engagement with cross-functional partners, including market researchers, DS, DE, and product teams such as Reels and Messages, was also instrumental in driving the project forward.

Impact

The project yielded clear insights into the pursuit of market-specific strategies for Instagram. I presented these insights to directors within the organization, contributing to strategic decision-making.

Other

I have a strong passion for creative endeavors, particularly those with a visual focus. After leaving Meta, I dedicated time to enhancing my skills by taking courses in HTML/CSS. The website you see is the culmination of my efforts in that course, showcasing my potential in web development. Additionally, I delved into the world of video editing using tools like Final Cut Pro and CapCut, expanding my creative skill set. These experiences have been incredibly enjoyable, and I continue to refine and strengthen my creative abilities.


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