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Memory

Feedback Synthesiser

A pile of reviews, tickets and survey replies turned into two honest rankings: what people say most, what hurts most, and your customers' own words as proof.

£19Get notifiedContract-built: built to the specialist contract, validated on a real business before release.

Reads your operating system before it starts. Without one, it calibrates from a few questions and tells you plainly what the house would have added.

The task

Three months of reviews, support tickets and survey replies have piled up, and you need to know what to fix first before the next product decision.

By hand

You open the ticket queue and start a tally in a spreadsheet. Two hours in, the categories have drifted: 'shipping' and 'delivery' are separate columns, half the survey replies fit nowhere, and the angriest comment from last Tuesday has quietly become the top theme because it's the one you remember.

By the end you have a list ranked by nothing in particular, one loud complaint mistaken for a common one, and no quote you could actually put in front of the team without going back to find it.

With the specialist

I

Three answers

The raw feedback, the product area, and the timeframe. If the paste is already scoped and dated, nothing is asked at all. Where your decision ledger is installed, any theme that pushes against a settled call is flagged as tension, not passed off as a neutral finding.

  • QThe raw feedback, pasted or as a file
  • QThe product area it concerns
  • QThe timeframe it covers
II

The ship gate

Every count is reconciled to the specific items it sums, every quote is checked word for word against the source, and the two rankings are confirmed to be genuinely separate judgements, not one list printed twice.

  • Two genuinely separate rankings, by frequency and by severity; identical lists mean severity was never actually judged
  • Every count reconciles to specific items in your input; no rounded, estimated or illustrative numbers
  • Every quote is word for word from the source, fifteen words or fewer, trimmed only from the ends, never reworded
  • Quotes name a source type, never a person; any personal name in the raw feedback is stripped
III

The deliverable

Two tables: themes ranked by how often they come up, and separately by how much they hurt, each with a short verbatim quote attributed to a source type. One-offs are listed apart, because a single comment is not yet a theme.

Sample output

What the deliverable looks like, on a neutral example.

Feedback synthesisSample

A quarter of feedback for a small online shop

Ranked by frequency

1Delivery dates unclear at checkout“I never knew when it would arrive”review
2Setup instructions assume too much“took me a whole evening to work out”support ticket

Ranked by severity

1Billing errors on renewals“charged twice and had to chase the refund”churned customer

Every count reconciles to the items behind it, and the two lists usually differ in order. One-offs sit in their own list, along with any theme in tension with a call you have already settled.

Most common and most painful are two different lists. Decide which one this quarter is about.

By hand

typically 3 to 4 hours of reading and tallying, with the categories drifting as you go

With the specialist

the feedback pasted in, minutes later two rankings, then your review

Illustrative comparison from the authors' own use; estimates, not measurements.

Feedback Synthesiser: £19, yours to keep.

Buy once, updated free forever. No subscription. Leave your email and you’ll hear the moment it launches.

Runs on your own Claude subscription. Prices are indicative while we finish arguing about them.