I built a three-layer feedback ecosystem: ticketing for real-time friction, quarterly surveys for trend data, and focus groups for the why behind the numbers. Each feeds a different kind of decision at a different cadence.
Survey data tracks business strategy alignment, accountability, and engagement quarter-over-quarter. Focus groups run after major launches and before planning cycles. Everything feeds into a reporting cadence shared with senior leadership.
Question Design
I write survey questions that surface what people actually experience — not what they think you want to hear. That means plain language, avoiding leading framing, and knowing the difference between a satisfaction question and a diagnostic one.
Data Cleaning & Interpretation
Raw survey data is noisy. I know how to clean it, spot response bias, identify outliers that skew averages, and separate signal from noise before anything gets reported to leadership.
Trending Over Time
A single data point is a number. Trended data tells a story. I track quarter-over-quarter movement across engagement, accountability, recognition, and strategy alignment — and I know when a shift is meaningful versus noise.
Translating Data Into Decisions
The point of measurement is action. I present findings in plain language, connect them to specific programs or leadership behaviors, and come with a recommendation — not just a report.
Ticketing & Intake
L&D intake forms and ticketing track requests, themes, and recurring friction points in real time. Surfaces operational gaps before they become systemic.
Survey Design & Analysis
From engagement pulses to needs assessments to post-program evaluation — I design surveys that ask the right questions, clean what comes back, and surface what actually matters.
Focus Groups
Structured listening sessions run after major launches and before planning cycles. Uncovers the "why" behind survey scores and surfaces nuance no rating scale can capture.
For the first time, we could see trends — not just respond to them. The data changed how we planned and what we prioritized.
— Senior Leader, Program Stakeholder
What This Accomplished
Through a targeted learning and accountability campaign, employee skill development plan completion moved from 15% to 91% — a measurable shift in organizational behavior driven by data, not assumption
Learning & OD moved from reactive to anticipatory — the feedback ecosystem surfaces what's coming, not just what already happened
Engagement survey data directly informs quarterly LGC agendas — the numbers don't sit in a report, they drive the conversation
Survey DesignQuestions written to surface what people actually experience — plain language, no leading framing, diagnostic not just satisfaction.
Data AnalysisCleaning, trending, and interpreting raw data — separating signal from noise before anything reaches leadership.
Organizational IntelligenceThree-layer feedback system: ticketing for real-time friction, surveys for trends, focus groups for the why behind the numbers.
Actual Work Samples
Interrater Reliability Report — Branch Audit Scoring Analysis
Interrater Reliability Report — Branch Audit Scoring Analysis
Coach Development Profile — Multi-Domain Proficiency Rubric
What This Accomplished
Through a targeted learning and accountability campaign, employee skill development plan completion moved from 30% to 80% in six weeks — the feedback system identified the gap, the campaign closed it
L&D moved from reactive to anticipatory — the feedback ecosystem surfaces what's coming, not just what already broke
Engagement survey data directly informs quarterly LGC agendas — the numbers don't sit in a report, they drive the conversation
Focus groups after launch surfaced three themes we hadn't anticipated. Two modules were redesigned as a result. That's what the feedback infrastructure is actually for
Leaders across the organization now share a common language around capability data — what it means, what it signals, and what it asks of them
Data-Informed Decision MakingThree feedback layers — ticketing, surveys, focus groups — each feeding a different kind of decision at a different cadence.Needs AnalysisThe questions matter as much as the answers. Survey design, data cleaning, and knowing what to look for before the results come in.Organizational DevelopmentBuilt the feedback infrastructure so L&D moves from reactive to anticipatory — gaps surface before they become problems.