Total Addressable Markets and Talent Mapping

Building a total addressable market and a working talent map takes more than a spreadsheet of names pulled off LinkedIn. A practical methodology breaks the work into five stages: define and scope, gather and index, build, present, and measure and refine. Each stage has its own discipline, and skipping any one of them is where most research falls apart.

Defining scope starts before any research begins, by understanding the project partners, the hiring leader, and the executive recruiter well enough to know not just what they need but how they like to receive it. Some want raw data, others want fully formed insight, and knowing the difference shapes everything that follows.

Gathering and indexing means combining human intelligence, conversations, conference chatter, offhand comments, with open-source research, and feeding both into a single system of record so nothing gets lost. A web form or CRM can capture that human intelligence directly, while low-cost tools handle the rest:

• OneNote or Evernote as simple, no-budget systems for warehousing profiles and notes
• Investigative-style software originally built for case files, used here to scrape company and org-chart data via a browser extension
• Industry sites with maintained organizational charts, cross-checked against other sources since org data changes fast
• Social listening tools that surface sentiment around a company, product, or hiring leader, useful for anticipating objections before a meeting
• People-search sites for building a fuller profile of a hiring leader ahead of a first conversation, used carefully and only with information that is already public

The build stage is where a lot of research work stops short, producing a plain list of names instead of a designed, user-focused deliverable. Treating the output as something to be presented thoughtfully, even beautifully, changes how it lands with an audience. Presentation itself has to flex by context: virtual versus in-person, individual versus executive, team versus one-on-one.

Validation runs through all of it. No single source, whether an org chart, a people-search result, or a social mention, is treated as final; multiple sources get weighed against each other for commonalities before anything goes into a report. And once a project closes, measuring and refining what worked keeps the whole system from going stale.

Every conversation holds nuggets, and a program only works if there is a vehicle to capture them.