Research Methods / Evaluation
Eval
Frames model selection as an evidence question: design the evaluation, test the differences, and retain uncertainty when the results cannot support a confident ranking.
CHEN YIYU / LIOR · PORTFOLIO 2026
People in context. From evidence to strategy.
I study how people understand, choose and act in specific contexts. Through field observation, interviews and close reading of source material, I turn fragmented experiences into grounded insights and next steps.
ResearchExperienceStrategy
Selected work / 2026
From lived context
to grounded action.
Relational Experience / Research
Orin
Explores how past interactions shape a sense of relationship with AI, and how changes in that relationship can be authorised, corrected and tested.
People Research / Knowledge
Julius
Draws patterns from fragmented material about a person while preserving sources, original quotations and context so each interpretation can be checked.
Collaboration / Workflow Research
Director
Examines handoffs in content production, connecting the brief, generation, review and feedback in a workflow that can be reviewed and revised.
Collaboration / Decision Governance
Chief
Makes multi-project work easier to coordinate by turning goals into bounded tasks, with explicit dependencies, review steps and evidence of completion.
How I work
Research is more than collecting material.
It should change what we do next.
- 01Frame the context
Ask who is doing what, in which setting, and which questions are worth pursuing.
- 02Enter the material
Read field observations, interviews and public sources in context; separate quotations, facts and interpretation.
- 03Form an insight
Trace sources and compare differences and counterexamples before deciding what the evidence supports.
- 04Translate into strategy
Turn the insight into a practical recommendation and a question to test next, with its limits made clear.
About
Research is the starting point.
Strategy is the next step.
I hold a bachelor’s degree in Information Management and Information Systems and a master’s degree in Library and Information Science. This background trained me to ask where information comes from, how it is organised and what a conclusion can reasonably claim. Fieldwork at cross-market industry events and independent projects have brought those questions closer to how people understand information and make choices in specific settings.
Most projects shown here sit within AI and complex workflows. On-site observation and feedback across markets have also shown me how language, presentation and setting affect understanding. Across these experiences, I start with people, organise evidence, develop traceable insights and translate them into strategy and validation. I hope to extend this approach into research on spaces and places.
If you are exploring how people experience different settings, and how research can inform design and strategy, I would be glad to talk.
chenyiyu716@icloud.com