I turn ambiguous problems into clear, actionable strategy.

What keeps me in the work is seeing research change a decision or a team’s roadmap, so the end user is better off, whether they realize it or not. At Apple I lead mixed methods research on enterprise employee experience products, from early strategy through evaluative testing.

Each tile encodes a real number. Poke around.

70+

Studies led

15+

Products supported

10 yrs

Of research and
strategy at Apple

Mixed Methods · GenAI · Research Ops & Strategy

Focus areas

Case Studies

AI & trust research · 2025

Gauging trust in AI support for sensitive HR topics

A five study program that took a generative AI employee support experience from concept to global launch, and found where employees would and wouldn’t trust AI with their HR data.

Employees forgave the AI when a human was reachable

~80k

Interactions · 7 countries

88%

Positive/neutral vs 85% goal

Studies, generative → pilot

Enterprise research · 2023–2024

Measuring a major HR platform migration

We benchmarked the old HR tools against the new platform before launch, found the tasks it made harder, and got them fixed while there was still time.

Perceived vs. actual task success

543

Employees surveyed globally

20+

Usability fixes tracked into the vendor’s roadmap

Critical issues resolved across releases

Research operations · 2026–Present

Building a governed AI research platform

A platform that lets any researcher author and publish their own AI research skills, with quality and compliance built into the template, so the team can move faster and still trust the work.

Guardrails in the template · one gate

Up to 85%

Less study planning time

Research enablement · 2026

Standing up a research practice on Apple TV

Four designers were already running their own research, each in their own way. I gave them a shared framework, tools, and a process they could keep using, and tried it first on a concept test that ran synthetic users before real ones.

Read the case study

CONFIRMED DID NOT HOLD

22 synthetic findings · six confirmed

Key findings

Recommendations

Designers in the program

About

Daniel Farooqi · San Diego, CA

I work where people and technology meet.

Over the past decade at Apple I’ve led research across enterprise and employee experience, most recently on generative AI and how it’s changing the way people work.

I studied sociocultural anthropology, and I still think about research that way. Understand a community closely, whether a team, a region, or a whole company, and you can see how a new technology will ripple through it, and catch it early when it isn’t helping the people it’s for.

Get in touch.

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