Keep Account Search Reproducible as Results Change

A colleague reruns an account search two weeks later and sees a different set of companies. Did the search change, did the company information change, or did the original review inspect only part of the results? Without a dated record, the team cannot distinguish those explanations.

Reproducibility in a changing research system means another person can reconstruct the method and understand its limits. It does not mean promising that a future run will return identical records in an identical order.

Record the recipe separately from the observation

The recipe is what you asked the system to find: search type, exact filter values, field-specific keywords, exclusions, and account scope. The observation is what you actually reviewed on a particular date. Store them separately so a result change does not silently become a recipe change.

LinkedIn's saved-search guidance says saved searches retain criteria and refinements and can be rerun. It describes changing criteria by saving the modified search as a copy. A saved search therefore supports reuse of a recipe; it is not evidence that the result population has been frozen.

Use a plain version identifier you control. Do not rely on a friendly search name to encode every important condition. Record any unavailable field or interface limitation that affects the method rather than silently substituting a different condition.

A completed version record

The following example is fictional. Its company labels, review counts, and dates illustrate documentation only; no live search performance is claimed.

Research record: Packaging Operators / version 1.2 / reviewed 9 October 2026 at 10:00 UTC.

Decision supported: Select accounts for manual equipment-fit research, not estimate market size.

Recipe: Account search; Headquarters location: United Kingdom; Industry: Manufacturing; Company headcount: 51–200; keyword field blank; no exclusion terms. These are the assumed inputs for this fictional review.

Required companion: Configuration notes retain the field labels and values above. Any difference between these assumed inputs and the actual interface must be resolved before a real review begins.

Account scope: Open discovery within the documented criteria. No private CRM filter or account-list restriction used.

Observed review boundary: Twelve visible candidates manually inspected in the displayed order. Remaining candidates not reviewed. The twelve are not a random sample.

Evidence retained: Original research notes, permitted company-source references, review dispositions, and the configuration record. No bulk profile copy.

Reviewer: Research lead; second reviewer checks the recipe and two disposition decisions.

Known limitation: Headquarters may omit operators with serviceable sites elsewhere; the review does not establish full market coverage.

For an actual review, copy the exact available labels and values from your own configuration. Do not silently substitute a nearby category or size band. If the interface cannot express the intended recipe, record the revised scope and start a new version.

Keep evidence snapshots proportionate and permitted

A snapshot can be a dated statement of your own research conclusion, the source reference supporting it, and the criteria under which you reviewed it. It need not be a downloaded replica of a profile or a complete results archive. Retain only information you are permitted to store and actually need.

LinkedIn's prohibited-software guidance rejects scraping and unauthorized automated activity. Reproducibility is not a justification for extracting the result set or bypassing access limits. Where an approved record cannot preserve the underlying material, state that limitation and preserve the method instead.

Compare two runs without inventing a cause

In the fictional second review on 23 October, the researcher uses the unchanged version 1.2 recipe. One previously reviewed company has a different public trading name, and two newly visible companies appear among the inspected candidates. Record those observations separately.

The company announcement supports the trading-name explanation for the first change. The newly visible companies have no verified explanation yet. Their appearance could reflect different review coverage or changed underlying information; the record should not label them newly founded or newly interested in buying.

If the researcher removes the headquarters condition to address the known limitation, create version 1.3. Its change note should identify the condition, reason, expected effect, and reference accounts used for checking. Do not compare the two sets as if the recipe were unchanged.

Use a discrepancy review instead of a larger archive

When two reviewers disagree, compare the exact inputs first, then the dates and inspected subset, then the entity identity. Only investigate an underlying business change after those simpler explanations have been checked. Stop when the remaining cause cannot be established from available evidence.

The account change-log guide concerns changes to individual facts. A search version record preserves the experiment around those facts. It is complete when a reviewer can rerun the method, identify what was actually inspected, and explain why a changed result does not by itself demonstrate changed demand.