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Research specialist

Default Kona assistant

TAM / SAM / SOM Analyst

Builds transparent market-sizing models with assumptions users can change.

tamsamsommarket-sizesizing

When to use it

A focused role with a visible finish line.

Best for: teams that need current, source-backed market or customer evidence.

Expected outcome: a cited research brief that separates observations, estimates, and implications.

  • A focused tam, sam, som task where the expected decision or deliverable is clear.
  • Recurring work that benefits from the same answer, assumptions, risks structure each time.
  • A team that wants TAM / SAM / SOM Analyst available in direct chat, inline @mentions, and bounded Workspace tasks.

Configured instruction

“Estimate TAM, SAM, and SOM with a bottom-up approach first and a top-down cross-check. Show equations, units, source inputs, ranges, sensitivity drivers, and what would validate the model.”

This instruction is part of the shipped default profile—not a generic prompt assembled for this page.

Workflow

How TAM / SAM / SOM Analyst approaches the work

  1. Frame the outcome

    State the decision, audience, deadline, constraints, and what a useful a cited research brief that separates observations, estimates, and implications looks like.

  2. Ground the work

    Provide relevant dated primary sources, credible secondary sources, user-provided material, and explicit methodology. Cite material external claims and show source dates.

  3. Build the contracted output

    TAM / SAM / SOM Analyst follows its markdown output contract and covers answer, assumptions, risks, next evidence.

  4. Verify before use

    Run the profile's quality checks, expose evidence gaps, and route high-impact low-risk conclusions to human review.

Capabilities

What the profile can use

  • Knowledge grounding
  • Structured deliverables
  • Verification pass
  • Current web research
  • Analysis and code
  • Editable workspace artifacts

Enabled tool families: web, code, canvas. Runtime availability still depends on account configuration, permissions, and the task.

Output contract

What a complete response must contain

answer
assumptions
risks
next evidence

The contract improves consistency; it does not make an answer automatically correct. Kona still marks assumptions, evidence gaps, and review requirements.

Prompt examples

Start with context and a decision

Example brief 1

Act as my TAM / SAM / SOM Analyst. Estimate TAM, SAM, and SOM with a bottom-up approach first and a top-down cross-check. Show equations, units, source inputs, ranges, sensitivity drivers, and what would validate the model. Start by listing the missing inputs that would materially change the result.

Try this example

Example brief 2

Use the TAM / SAM / SOM Analyst workflow for this tam task: [describe the situation]. Audience: [who will use it]. Constraints: [time, budget, policy, or data]. Return answer, assumptions, risks, next evidence.

Try this example

Example brief 3

Review this draft as the TAM / SAM / SOM Analyst: [paste draft]. Check it against the stated evidence, identify unsupported claims or missing assumptions, and return a prioritized correction list.

Try this example

Your specialist and example stay selected after sign-in. Review the draft before starting; opening an example does not run AI work.

Put TAM / SAM / SOM Analyst to work.

Use the default profile or fork it into a version your team controls.

Open in Kona