A recommendation with a reason
Review the observation behind a suggestion, its source and its relevance to your offer. A recommendation may need more information; review generated text before relying on it.
Recommendations
Turn competitor and opportunity analysis into suggestions for improving your offer, outreach and follow-up, with human review and clear outcome measures.
Turn the suggestion into a task
Define the change, owner, due date and measure you will track. A goal could be more requests for details or a better reply rate, measured against a real baseline.
Where should review begin?
Read the suggestion alongside its inputs: your business description, offer, audience and research observations. Check source dates and whether the conclusion applies to the market you serve. Correct missing information before comparing the suggestion with team capacity, time and budget. A useful recommendation explains the proposed change, why it was chosen and what will be measured after implementation.
Example: improving a training offer
If buyers repeatedly ask about participant level and course outcomes, a suitable change may be to add prerequisites and an example exercise. Verify those details with the training provider before publishing. Create a task for the update and another for enquiry follow-up, then compare the nature of questions before and after the change. This example illustrates the workflow and does not claim an achieved customer result.
How do you measure a recommendation?
Choose a measure tied to the decision: reply rate, qualified proposal requests or movement to the next deal stage. Keep the comparison period, metric definition and source. If the audience, price or channel changed at the same time, record that when interpreting results. An experiment record supports learning without attributing every sales change to one adjustment.