The playbook
Content Gap Analysis: Worked Examples
The following content gap analysis examples illustrate how to move from an observed problem to a practical decision. They are hypothetical operating scenarios, not customer results or performance benchmarks. The central question is whether the work helps improve valuable unanswered questions without losing the context needed to judge it.
Put the task in context
Combine search queries with repeated questions from sales or support. If users ask how an integration handles duplicate records and no existing page answers that question, the missing explanation is a specific gap. Check whether it belongs in an existing guide before creating another URL.
Example 1: establish a usable starting point
A team begins working on content gap analysis but cannot consistently describe question and current answer for the same item. The immediate task is list questions from sales support and search data. The team records the current state, identifies the source of each value, and resolves conflicting information before making a broader change.
The useful output is a page or query record that another person can interpret. This example does not require assuming an uplift. Success at this stage means the next decision can be made using a shared set of facts, with missing information explicitly identified.
Example 2: correct a specific failure
In a second situation, the team observes calling every competitor keyword a gap worth filling. It proposes the correction: exclude topics that do not serve your audience or product. Before applying that correction everywhere, the owner checks whether the same cause is present in other affected items. A common symptom alone does not prove that all items need the same repair.
| Decision | Illustrative reasoning |
|---|---|
| Observation | Calling every competitor keyword a gap worth filling |
| Likely correction | Exclude topics that do not serve your audience or product |
| Verification task | Map each question to a useful current page |
| Result to inspect | Prioritize missing answers by demand and business fit |
After the change, the owner repeats the relevant task and records what happened. If the condition remains, the team returns to the evidence rather than declaring the process complete. The example illustrates a repair cycle; it does not claim a particular commercial result.
Example 3: extend a process after it works
A third team already has reliable records for a small scope and wants to expand. It compares the next group with the first: are question, current answer, gap defined in the same way, and does the intended outcome remain valuable unanswered questions? Differences are written down before the earlier process is reused.
Expansion is appropriate when the assumptions still hold and an owner can review exceptions. Where the new group has different needs, the team adapts the process and tests again. Reusing the structure is useful; reusing a conclusion without checking its conditions is much less reliable.
Apply the examples to your own work
- Write the current problem in observable terms using question.
- Choose which of the three examples matches the stage of the work.
- Complete this action first: list questions from sales support and search data.
- Keep the resulting evidence and review valuable unanswered questions on a consistent basis.
Keep page purpose visible throughout the work. A technically valid page can still fail to answer the reader’s question. Separate access and discovery problems from content problems so that the assigned action matches the cause.
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