Design & Research Lead · PM Pilots
360 Feedback.
Problem statement
Leaders and associates both distrusted 360 feedback — templates varied by team, responses skewed positive, and no one knew how results would be used. Why was a system meant to help people grow just producing noise?
Role
Design & research lead — improved the quality and actionability of 360 feedback during the performance cycle, delivering validated insights to de-risk the product roadmap.
Platform
Internal web tool
Timeline
Dec 2023 – Dec 2024

The Problem
Low trust in a system that was supposed to help people grow
Success metrics · OKRs
↑ 42%
feedback quality & specificity
↓ 28%
escalations post-cycle
360 feedback was poorly connected to the broader performance flow. Feedback templates varied wildly across teams. Responses skewed positive — not because everyone was performing exceptionally, but because the system gave people no reason to be specific or honest.
People leaders lacked confidence in the feedback they received. Associates didn't know how it would be used. The result was a process that consumed time and produced noise.
My job: improve the quality and actionability of 360 feedback during the performance cycle — and provide validated, evidence-based insights that could de-risk and define the foundation for a product roadmap.

01
Building on three foundation principles
Rather than jump to solutions, we used research to define the principles the system had to be built on. These shaped every design decision that followed.
Quant & qual data together. Standardized, competency-based ratings paired with required qualitative comments. Ratings without context were too easy to dismiss.
Psychological safety through anonymity. Complete anonymity consistently produced more candid, constructive responses. Without it, people optimized for relationships, not honesty.
Comparative context to reduce bias. A "compared to peers" scale reduced subjective ratings and gave calibration conversations something concrete to anchor to.
02
Connecting feedback to calibration
We partnered with PwC to build the feedback system on these foundations — grounding every question in Capital One's competency framework, making the entire process anonymous by design.
The key decision: making 360 feedback a first-class input in calibration, not an afterthought. We redesigned the calibration one-pager to surface feedback directly alongside performance data. Peer comparison graphs showed ratings relative to the cohort. Written feedback was structured to surface strengths and development opportunities side by side — something managers could actually reference mid-conversation.


03
Measuring what mattered
We measured impact by triangulating three data sources: raw system data, live calibration observations, and milestone surveys. Tracking clarity, consistency, quality, and actionability throughout the pilot — not just at the end.
This wasn't a post-launch audit. It was how we built the case for the next phase.

Outcome
The pilot made the case
The results were strong enough to convince our partners to use 360-feedback as the foundation for the new enterprise performance platform, PATH.
- 65% improvement in clarity & consistency of feedback received
- 58% improvement in feedback quality — anonymity made a measurable difference
- 52% improvement in actionability — feedback was more actively used during live calibrations
- 58% of pilot associates reported having clarity on their development opportunities
- Feedback was 73% more leveraged in the overall performance management process
What I learned
Growth as a designer
This was my first major lead effort. It shaped how I think about product and strategy design.
Cross-functional alignment — pulled in early — creates shared ownership that carries a project through. And measurement isn't a post-launch activity. It's how you earn the next phase.
Next time I'd manage scope more intentionally. We took on too many changes at once. Being more deliberate about thin-slicing and sequencing big bets would help maximize impact.