Measure conversation quality and improve
Course overview · 4 min reading + 12 min practice, estimated
Principles and method
Define response categories before comparing messages: interested, useful referral, not relevant, not now, complaint and no response. Positive reply rate should use a clear denominator and observation window. A message that generates confusion can produce replies while damaging trust. Review a sample of conversations to understand why people respond. Test one meaningful change at a time on comparable audiences where appropriate, and avoid treating tiny differences as proof. Record learning about the proposition and market, not only the copy.
Worked example
Variant A gets ten replies, including six asking what the role actually is. Variant B gets seven replies, five of which lead to informed conversations. The team examines relevance and clarity rather than declaring A the winner by reply count.
Put it into practice
Classify twelve fictional replies and propose one improvement to the sequence.
Use fictional information and keep your work in your own notes.
Compare your approach: self-review guidance
Separate informative interest from confusion and opt-outs. Explain the denominator and uncertainty. A useful revision may clarify location or scope rather than adding more persuasive language.
Sources and further reading
Original Academy teaching and fictional examples. These references provide context, not endorsement. Edition 2026.09; updated 2026-09-24.
- CIPD: Recruitment
Professional context for the recruitment lifecycle.
- ICO: Recruitment and selection
UK guidance. Check its current status and updates before implementation.