Your reviews, support tickets, and ad comments contain the objections, comparisons, and product issues that buyers actually have. We organize them into a structured brain, then run Vox, your Customer Voice Miner, so your team can see recurring patterns without reading every thread.
Sample prototype layout. Not real customer data. No live client system is implied.
The signal is in your reviews and support threads. The problem is that it takes longer to read them than the team has available, so decisions get made from guesses instead.
The brain ingests your existing customer data. No new research to commission at the start.
Built and maintained on our own infrastructure. Each stage has a clear role: nothing sits idle.
Pull in reviews, support exports, product specs, ad comments, and competitor notes from the agreed sources. Volume and format scoped at the Context Audit.
Organize into an AI-readable wiki: objections by theme, product issues by frequency, positive signals, competitor mentions, and use-case patterns.
Surface the right signal on demand: the top objections for a product, the recurring complaint in a ticket category, the verbatim language behind a theme.
Run Vox, your Customer Voice Miner: reads the brain and produces a themed issue list and angle pack for your team to review and act on.
Scheduled freshness sweeps ingest new reviews and ticket batches. The brain stays current as new products launch and customer feedback accumulates.
Vox is the investigator who reads every review and ticket to find what moves the needle. Vox reads your customer and research brain and produces a themed issue list and angle pack: recurring objections, product problems, and positive signals, each with the source evidence behind them. Signature artifact: The Sentiment and Friction Report. Your team reviews the output and decides what to act on.
Vox, your Customer Voice Miner, pulls from the objections, product issues, positive signals, and competitor mentions sections of the brain. Vox reads the organized wiki where the signal has already been extracted and categorized, not raw review exports.
The Sentiment and Friction Report: a themed pack with each theme's count, the verbatim examples behind it, and the source. Your product, marketing, and customer service teams use the output to make decisions. No automated changes are made to listings, ads, or anything else.
All output is for your team's review. No listings, ads, or responses are updated automatically.
Sourced from reviews, support tickets, and ad comments in the brain. For team review before any action is taken.
Customers report difficulty choosing between sizes before ordering. Phrase (sample): "I wish there was a size guide with actual measurements, not just S/M/L." Raised in support and reviews.
Sample count: 38 tickets, 14 reviewsFrequently noted as a positive surprise. Phrase (sample): "arrived way faster than expected, really impressed." Potential angle for listing copy or ads.
Sample count: 22 reviews, 6 ad commentsReferenced in comparison context (sample): "I was looking at Brand X but the reviews here were more consistent." Appears in reviews and one ad comment thread.
Sample count: 9 mentionsThe Context Audit maps your sources before any build quote is written. That is how fixed prices stay fixed and scope stays honest.
A paid scoping engagement: we inventory your reviews, ticket exports, and research docs, propose a schema, scope Vox (Customer Voice Miner), and write a fixed build quote.
One customer and research brain built from the agreed sources, with the schema applied and Vox (Customer Voice Miner) stood up behind an approval gate.
New review and ticket batches ingested on schedule. The brain stays current as your catalogue grows. Skill tuning and one new or upgraded skill each quarter.
Volume is assessed at the Context Audit. High review volume is usually an advantage, not a problem, as it produces more reliable themes. The audit maps the format of your exports and prices the ingestion work accordingly before you commit to the build.
No. Vox (Customer Voice Miner) produces an issue list and angle pack for your team to review. Decisions about listings, ad copy, or product changes are made by your team. Nothing is updated automatically.
A paid scoping engagement (500 to 750 pounds) where we inventory your review and support exports, map their format and volume, propose a schema, scope Vox (Customer Voice Miner), and write a fixed build quote. Data volume is the main variable that affects the build price, so the audit is essential.
Yes. Additional sources or product lines are add-ons with their own price, agreed before any work starts. The Maintain stage includes a quarterly skill upgrade that can be used to expand coverage. Nothing is added without an explicit scope agreement.
We map your sources, propose a schema, scope Vox (Customer Voice Miner), and produce a fixed build quote. That is the whole audit.
Book a Context Audit