Services

Decisions rarely fail for lack of data.

They fail because signals are noisy, partial, or pointing in different directions. My job is to cut through that — and hand you something you can actually decide on.

Research & Advisory

A clear answer to a real question about your market.

I support product, product marketing, and go-to-market leaders in decisions that depend on a clear understanding of their market, buyers, and competition. The output isn't insight for its own sake — it's input that can be used in real decisions, built for the question you're actually asking.

Supports real decisions
Grounded in market reality
Focused on what matters
Actionable by design
Scoped to fit the need

My approach

01
Ground in context

Understand the product as it exists today, where it fits, and where it has traction — alongside the decision and its timeline.

02
Frame the decision

Clarify what needs to be decided now, what can wait, and what a good outcome looks like.

03
Examine markets, buyers, and competition

Look at each separately, then together. What buyers compare, how decisions are made, which signals matter now vs. later.

04
Work iteratively

Close collaboration or more hands-off — whatever produces the best outcome. The work adjusts when new information changes the decision.

05
Surface options and implications

Make the viable paths visible. Explain what each would mean — and recommend one.

What it covers

  • Market and category research to frame the space you're operating in
  • Analysis of relevant competitors and category dynamics
  • Customer and buyer research — evaluation, decision-making, choice
  • Integrating internal and external signals
  • Ongoing monitoring to keep important signals visible as things change

What you get

  • A clear view of the market, competitors, and buyers tied to your question
  • A grounded comparison that holds up in planning and prioritization
  • Clear implications for product scope, positioning, or go-to-market
  • Non-trivial, actionable input — designed to be used

When this is a good fit

Where to focus — which markets, segments, or use cases are worth attention
What to build — what to double down on, and what to stop investing in
How to differentiate — which strengths should anchor your positioning
Competitor moves — how they're changing and what that means for you
Market shifts — how technology, regulation, or category dynamics change your options
Why buyers choose something else — and what you can realistically do about it

How engagements are structured

Focused projects

Contained work around a specific question or decision. Defined scope, clear deliverable, fixed timeline.

Ongoing advisory

Continued support across a series of related decisions, with signals tracked over time.

Infrastructure

Set up a CI process or intelligent automation designed to keep running after the engagement ends.

Mentoring & Workshops

Build the capability inside your team.

For product management, product marketing, and competitive or market intelligence teams who want to strengthen how they research markets and competition. Workshops are tailored to the audience and the context.

What participants work on

  • A competitive or market deep dive tied to a real question they own
  • Framing better research questions and scoping work realistically
  • Sourcing approaches for research and analysis
  • Synthesizing inputs and using decision-making frameworks
  • Telling signal from noise — and knowing when more research won't change the decision
  • Building shared judgment across a team

AI throughout

AI is used as a practical tool throughout — not as a shortcut, but as a genuine force multiplier for research that used to be limited by time.

  • Expanding coverage across sources and markets
  • Filtering and collecting signals that actually matter
  • Multi-dimensional analysis across large volumes of data and text
  • Speeding up synthesis while maintaining context and judgment
  • Creating precise, decision-ready outputs
  • Automating parts of ongoing monitoring

Goals of workshops may include

Improve day-to-day research quality
Learn to separate signal from noise
Strengthen strategic thinking and planning
Level up how AI is used in competitive research, buyer research, and product discovery
Build shared judgment across a team
Establish a common baseline for how this work is approached

Need clearer market, competitive, or customer input?
Let's talk about what that looks like.

Get in touch →