Product Research · Agentic AI Workflows · Strategic Direction Emil AlexSan Francisco

I help organizations figure out what to build, why it matters, and what has to be true for it to work.

I'm Emil Alex, a product researcher with 12 years of UX expertise, of which the past eight years have been focused on Enterprise Cloud software. My work spans Agentic AI, complex workflows, feature adoption, value realization, and product direction.

  • Systems PEOPLE · PRODUCTS · OPERATIONS
  • 8 years ENTERPRISE CLOUD SOFTWARE RESEARCH
  • AI+ AGENTIC WORKFLOWS · INTEGRATIONS · GOVERNANCE · PRODUCT ADOPTION
  • Scale ENTERPRISE-WIDE · MULTI-PRODUCT · CROSS-WORKFLOWS

Challenges I tackle.

01 · ROI and value realization

How can we make the value our product delivers measurable and defensible?

What I did

A request for a proof-of-value metric exposed a broader system problem. I traced the proof chain across baselines, instrumentation, attribution, ownership, readiness, and customer expectations.

ResultValue-proof model + intervention map
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02 · Product Advisory Council research

How do we turn fragmented customer signals into clear product direction?

What I did

I designed and led linked Product Advisory Council activities to study adoption, value, measurement, and AI readiness with customer practitioners and product partners.

ResultGoverned evidence system
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03 · Agentic AI workflows

How should agentic AI know when to act, escalate, or hand off?

What I did

I led research into enterprise voice support, defining guidance for self-service, service continuity, and the handoff to a person.

ResultHandoff model + readiness requirements
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04 · Enterprise expansion

How can we scale an enterprise product beyond desk-based work?

What I did

Fieldwork and task research connected workplace access, authentication, and assistance to shared-access and kiosk capabilities deployed with customers.

ResultShared-access + kiosk delivery
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Across the work

The connective practice.

  1. 01Frame the real product decision.
  2. 02Connect evidence across the system.
  3. 03Turn research into requirements and direction.
  4. 04Make evidence durable enough to reuse.

An intelligent research system.

A model for connecting research sources, findings, and decisions, with every answer traceable to its evidence.

How I work

Frame. Connect. Activate.

Complex research rarely begins with a clean question or ends with a readout. The work is keeping evidence centered on the decision.

01 · Frame

Find the decision.

Separate the visible request from the uncertainty that is actually preventing movement.

02 · Connect

Build the whole picture.

Connect customer behavior, product constraints, operational reality, and business context.

03 · Activate

Shape what happens next.

Make the evidence shape requirements, decisions, priorities, and product direction.

See the full approach
Point of view

I work where the map runs out.

When a product question crosses people, interfaces, operations, evidence, and organizational reality, I connect the parts that matter so teams can move toward product direction with greater confidence.

Let’s talk.

Product research across enterprise cloud software, agentic AI, complex workflows, feature adoption, value realization, and product direction.