Source preparation
Select the period and channels, remove duplicates, and preserve relevant context. Agree access, permitted fields, and retention before processing customer material.
User feedback analysis
Understand the problems behind customer comments before turning requests into a roadmap. ACW organises reviews, tickets, interviews, and other agreed sources into themes linked to the observations and users behind them.
Contact UsSeparate repeated problems from isolated requests
Feedback arrives through different channels, often without a common structure. A feature request may describe a proposed solution while leaving the underlying task unclear.
Review the source, user context, and actual problem. Count recurring themes within the collected material, without treating a support-ticket sample as a survey of every customer.
Build the analysis around the evidence
What your team receives
A source inventory and documented selection criteria.
A structured theme set and analysis of the agreed material.
Findings with supporting examples and relevant context.
A list of limitations, unanswered questions, and research gaps.
Recommended next actions or product hypotheses for review.
From raw comments to a product discussion
Agree the question
Define what the team needs to understand and which sources may help answer it. Existing-material analysis does not automatically include new interviews.
Prepare and organise
Review duplicates, coverage, and identifying information. Preserve the distinction between direct observation and analyst interpretation.
Analyse themes
Examine repeated experiences and exceptions. Review ambiguous comments with the team rather than forcing every entry into a convenient category.
Discuss action
Present findings with source examples. Decide what merits a product change, deeper research, or comparison with behavioural data.
Make the findings traceable
Acceptance should confirm source coverage, theme definitions, and the link from each finding to supporting material. Counts need a clear denominator. The report should show whose feedback is present, whose is missing, and where the material cannot establish prevalence or cause.
This is an example of a possible engagement, not an ACW client result.
Illustrative theme: difficulty exporting data
Several comments request different export features. Analysis groups them by the task users are trying to complete, checks duplicate requests, and preserves examples from different contexts. The resulting finding may justify further research into an export workflow rather than building every requested format.
Questions before analysis
Can you work with existing support tickets?
Yes, if access and permitted use are agreed. Define the period, included fields, and what customer context is necessary.
Will the most requested feature become the top priority?
Not automatically. Request frequency in the sample is one input alongside problem impact, product strategy, and delivery effort.
Is this the same as product analytics?
No. Feedback describes expressed experiences and needs. Product Analytics examines recorded behaviour; combining them can identify stronger questions without eliminating uncertainty.
Bring the feedback your team cannot organise
Tell us which sources you have, the period they cover, and the product decision they need to inform.