Services

Today, data is easy to get. Knowing what to act on is not.

Decisions rarely fail because there is no information. They fail because signals are noisy, partial, or pointing in different directions.

Markets shift. Competitive moves are hard to interpret. Customer input is uneven or contradictory.

“A wealth of information creates a poverty of attention.”
— Herbert Simon

Research & advisory

My research supports product, product marketing, or go-to-market leaders in decisions that depend on a clear understanding of their market and buyers.

Supports real decisions

Grounded in
market reality

Focused on
what matters

Actionable
by design

Scoped to
fit the need

    • Ground in context
      Understand the product as it exists today, where it fits, and where it has traction, alongside the decision to be made and its timeline.

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

    • Examine markets, buyers, and competition
      Look at each separately, then together. What buyers compare, how decisions are made, and which signals matter now versus later.

    • Work iteratively and in close collaboration
      Work can be highly collaborative, with regular touchpoints and shared sense-making, or more hands-off when the goal is to offload work. The level of involvement adapts to what produces the best outcome.
      The work changes when new information or requirements affect the decision.

    • Surface options and implications
      Make the viable paths visible and explain what each would mean.

  • Depending on the question, this may involve:

    • Market and category research to frame the space you are operating in

    • Analysis of relevant competitors and category dynamics

    • Customer and buyer research to understand evaluation and choice

    • Bringing internal and external signals together

    • Ongoing monitoring to keep important signals visible as things change

  • The goal is not insight for its own sake, but input that can be used in real decisions.

    You will typically walk away with:

    • A clear view of the market, competitors, and buyers tied to the question you’re trying to answer

    • A grounded comparison or landscape that holds up in planning and prioritization discussions

    • Clear implications for product scope, positioning, or go-to-market choices

    • Input that is non-trivial, actionable, and designed to be used

When this is a good fit

This work helps when you’re trying to answer questions like:

  • Where to focus next: which markets, segments, or use cases are worth attention

  • What to build next, what to double down on, and what to stop investing in

  • How to differentiate: which strengths should anchor your positioning

  • How competitors are changing and what that changes for you

  • How market, technology, or regulatory shifts change your options, and what to do about them

  • Why buyers choose something else and what you can realistically do about it

How engagements are structured

Magnifying glass over a target with a question mark in the center.

Focused projects

Focused work around a specific question or decision.

A circular logo with an infinity symbol inside, transitioning from teal to dark blue, with a downward orange arrow at the end of the right loop.

Ongoing advisory

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

Icon of a book with interconnected nodes, a gear in the center, and a gear outline, representing learning, technology, or systems integration.

Infrastructure creation

Set up a competitive or market intelligence process, or an intelligent automation designed to keep running after the engagement ends.

Hybrid

A defined project that transitions into lighter, ongoing support or monitoring.

Mentoring & workshops

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 context. Goals may include:

  • Improve day-to-day research

  • Learn how to separate signal from noise

  • Strengthen strategic thinking and planning

  • Level up how AI is used in competitive and market research, buyer and user research, and product ideation, discovery and validation

  • Build shared judgment across a team

    • Work through a competitive or market deep dive tied to a real question they own

    • Practice framing better research questions and scoping work realistically

    • Learn sourcing approaches for research and analysis

    • Learn how to synthesize inputs and use decision‑making frameworks to turn findings into options and consequences

    • Learn how to tell signal from noise, and when additional research is unlikely to change the decision

    • Establish a shared baseline for how this work is approached across a team

  • AI is used as a practical tool throughout, including:

    • Expanding research coverage across sources and markets

    • Filtering and collecting signals that actually matter

    • Running multi-dimensional analyses across large volumes of data and text, with structure and intent

    • Speeding up synthesis while maintaining context and judgment

    • Creating precise, decision-ready outputs using AI

    • Automating parts of ongoing research and monitoring

If this resonates

Need a clearer market, competitive, or customer input to make a decision?
Want to strengthen this capability inside your team?

Let's talk