Hi, I'm Suramya Chandra

I help you connect the dots

From eye-tracking studies and usability testing to VR experiments, I turn behavioral data into design decisions and research insights into actionable recommendations.

View My Work

Selected Work

A look at the projects I've worked on and what I learned from them

Industry & Applied Research

Academic Research Projects

Predictive Eye Movements under Cognitive Load
Eye-Tracking · Cognitive Science

Predictive Eye Movements under Cognitive Load

RPTU Kaiserslautern

Identified gaze markers for real-time cognitive strain detection

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Predictive Language Processing via Hand Movement
VR · Multimodal Interaction

Predictive Language Processing via Hand Movement

RPTU Kaiserslautern

Demonstrated anticipatory motor behavior driven by language comprehension

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Bilingual Language Switching & Emotion
Behavioral Experiment

Bilingual Language Switching & Emotion

RPTU Kaiserslautern

Revealed emotional valence amplifies cognitive cost of language switching

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Skills & Tools

What I use day to day

Eye-Tracking

I use EyeLink systems to study where people look, how they read, and what catches their attention in an interface.

Usability Testing

Running moderated and unmoderated sessions with SUS, UEQ, and behavioral data to see how well a product actually works for people.

User Interviews

Talking to people one-on-one to understand their motivations, mental models, and the needs they can't always articulate.

Statistics & Analysis

SPSS, R, MATLAB, Python. I run ANOVAs, mixed-effects models, and behavioral analytics to back up findings with numbers.

Design & Visualization

Figma, Miro, Unity, and MS Office for prototyping, mapping journeys, and making research findings easy to communicate.

AI-Powered Research

Worked with AI-driven research and synthesis tools at DFKI to speed up insight generation and spot patterns faster.

How I Work

My research process, and where I fit in the bigger picture

The Product Cycle

I plug into the product development cycle at multiple points, making sure decisions are grounded in real user behavior throughout the process.

Discover
Research
Define
Design
Test
Build
Evaluate

Highlighted steps are where I come in. I'm involved in early discovery, defining the problem, mid-cycle testing, and post-launch evaluation.

Zooming into my research process

How I Run a Study

01

Define

Clarify the research question. What do we need to know and why does it matter for the product?

02

Plan

Choose the right methods, recruit participants, and design the study to get reliable answers.

03

Conduct

Run the research. Interviews, usability tests, eye-tracking sessions, surveys, or experiments.

04

Analyze

Synthesize the data. Find patterns, quantify behaviors, and pull out the insights that matter.

05

Recommend

Translate findings into clear, actionable recommendations the team can act on immediately.

What Collaborators Say

"Suramya quickly became a valued team member, bringing a great mix of curiosity, reliability, and positive energy. I especially appreciated her strong quantitative skills, which she applied with great precision, particularly in our multimodal study, where her contributions had a real impact. Her work was always of high quality, thoughtful, and well-structured, and she consistently brought fresh perspectives from her university background to the team."

Nadine Reißner Senior UX Researcher, KUKA

"Thanks to her strong background in cognitive science, she approached complex data sets with an analytical mind and delivered precise, actionable insights. Suramya is highly reliable, proactive, and collaborates seamlessly with diverse teams. She will be a tremendous asset to any research or UX team."

Thoughts

Things I've been thinking about in UX research

2026

How I Would Improve the Multimodal Study at KUKA

Looking back at the cobot study with fresh eyes. Confidence checks, error rates, baselines, and other changes I'd make to sharpen the findings.

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2026

Why Eye-Tracking Belongs in Every UX Toolkit

Most teams rely on what users say. But gaze data shows what they actually do. Here's why I think eye-tracking should be more accessible in product research.

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2025

Adaptive Interfaces: When Should Systems Intervene?

My thesis taught me that adapting content isn't just about detecting difficulty. It's about timing, subtlety, and knowing when not to interrupt.

Read more →

About Me

Suramya Chandra

UX researcher with a background in cognitive science and psychology. Experienced in HCI, human-robot interaction, and AI integration.

I use eye-tracking, usability testing, and behavioral experiments to find what's not working and why. I've done this at KUKA, DFKI, and the Max Planck Institute.

I'm driven by the unexpected finding. The one that reframes the problem and points to a better solution.

Currently based in Germany. Open to full-time UX research roles in Europe.

Let's Connect

Thanks for stopping by. If you have feedback on this site or just want to say hi, I'd love to hear from you.