Deal-sourcing method

Analyst desk research

An analyst builds a target population and investigates companies against explicit questions. Its strength is careful interpretation; its limits are time, source coverage and the consistency of the research record.

Method profile · Qualitative assessments by Docket

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How it works

The analyst defines what a business must do to belong in the mandate, then finds candidates through suitable directories, filings, company pages and other sources. Discovery and qualification should be distinct steps. A candidate can enter the working list with incomplete information; acceptance against a criterion needs evidence that answers the actual question rather than a plausible association with the sector.

For each company, resolve the entity and website, apply exclusions first and retain support for the remaining answers. Good notes identify the source, date and exact passage behind a conclusion. Separate observation from interpretation and record unanswered questions. A second review can then assess whether the retained material supports the answer without reconstructing the analyst’s search history or relying on memory.

Where it fits

  • Ambiguous businesses, unusual source formats and criteria that need careful interpretation. Analysts can identify when a question itself is poorly specified and bring that issue back for mandate review.
  • Teams building a defensible market map or preparing high-context briefs for owner and adviser conversations. Desk research is particularly useful when the important distinction is more specific than a database category.

Limits and failure modes

  • Research can become inconsistent when each analyst writes a different narrative or applies a slightly different criterion. A polished paragraph is difficult to compare if it does not expose the underlying answers and sources.
  • Time pressure can bias work toward familiar companies or those with clear websites. Difficult records should remain visible, rather than disappearing from the population because they took longer to research.

Cost, timing and evidence

What it costs
Cost is driven by analyst time, source access, review depth, identity ambiguity and the number of criteria. Additional questions can require new source work rather than a simple reread. Include maintenance and rechecking in the budget, and track time spent on rejected records as part of the real programme cost.
First conversation
A preliminary brief may be ready before contact, but research itself does not provide access to an owner. More complex identity and ownership questions extend preparation. Agree the minimum evidence needed for approval so the team neither contacts on unsupported assumptions nor waits indefinitely for private information to appear publicly.
Competitive tension
Desk research can identify overlooked companies but normally works with information available to others. The advantage is a more considered question or earlier understanding, not guaranteed exclusive access. Ownership interest, adviser involvement and any transaction restrictions require direct confirmation through appropriate channels.
Evidence quality
Traceability can be strong when the analyst retains exact passages and identifies the scope of each source. A website is evidence of what the company states, not automatic proof of operating economics. Reviewers should be able to distinguish a source-backed answer, an inference and an unresolved question without reading between the lines.
Scalability
Templates, shared questions and source reuse improve consistency, while the reading and interpretation burden still grows with the population. Use common evidence standards and targeted review to preserve quality. Research coverage should show both completed companies and the unresolved backlog, rather than presenting the easiest records as the whole market.

Docket’s assessments

These low, medium and high levels describe operating characteristics, not measured results or promises. A high cost burden means greater effort. The other dimensions describe potential access, inspectability and repetition under a well-run process; none establishes acquisition suitability.

DimensionLevelRationale
Cost burdenhighHuman reading, interpretation and review grow with scope and ambiguity.
Conversation readinesslowA researched company has not necessarily agreed to speak.
Evidence traceabilityhighExact passages and retained sources can support a reviewable record.
Repeatable coveragemediumStructured templates help, but analyst attention remains a constraint.
Qualitative assessments by Docket. The index defines the scale for each dimension.

Review the method as an operating process

Before increasing activity, define what the team needs to learn and which evidence would change its view. A relevant company, a reachable contact, a permitted introduction and a held conversation are separate stages. Record them separately so a busy channel does not appear successful simply because it generates more records. Compare methods against the same mandate and the same review standard.

Use the first set of reviewed records to test the questions themselves. If ownership, service mix or geographic scope is repeatedly unresolved, decide what can be established publicly and what requires a permitted discussion. Leave the latter visibly open. Pause expansion when the team cannot review results or respond properly; research throughput should serve the relationship process rather than outrun it.

Where Docket helps

Docket can support an analyst by applying tailored questions across a list and retaining the evidence for review. The managed mode includes a dedicated analyst and weekly criteria review. Analysts still handle mandate judgement, difficult interpretation and relationship context; the platform does not remove private diligence requirements or decide which company to acquire.

For the distinction between early access and exclusivity, read proprietary deal flow. To apply this method to a mandate, discuss the questions with Docket or inspect the live platform.

Where to check this

Desk research is repeatable when the question schema and the evidence standard are written down before collection. Federal statistical series establish the universe and company-published pages describe individual firms; the combination needs identity resolution so one company is not counted twice. Audit a sample of each analyst's batch rather than trusting volume.

Sources

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Comparison

Databases vs primary research

Do you need candidate discovery, or evidence that a particular company satisfies your actual criteria?

Comparison

In-house vs outsourced origination

Which work needs to stay close to the investment team, and which work can be specified, reviewed and handed over?

Comparison

Conferences vs desk research

Do you need live market context and introductions, or systematic evidence across a defined company population?

Comparison

Self-serve vs managed research

Does the team want to run the research workflow itself, or have an analyst manage it with regular criteria review?

Comparison

Buying lists vs building lists

Is the immediate need a starting population, or a target universe defined and maintained around a specific mandate?

Comparison

Keyword search vs criteria screening

Are you trying to discover possible companies, or decide whether each one satisfies a defined acquisition requirement?

Comparison

Analysts vs AI research agents

Which research tasks benefit from repeatable collection, and which require human interpretation, judgement and relationships?

Sector applications and research

Send us ten targets. We research them for free.

A target list and your acquisition criteria are enough. You get back company records with scores, the evidence behind every field, and the questions the public record could not answer.