For product and merchant teams sorting a messy review sample
Turn customer reviews into actions that still point to the original words.
Bring an anonymized set of reviews with product, region, and date context. VoiceTrellis groups tentative themes, keeps mixed signals visible, and ties every proposed action to verbatim quote evidence for human review.
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A1 · HighAudit delivery-date recalculation between cart submit and confirmation Evidence R1, R4 — two date shifts reported, one by two days. Approval required. No ticket write-back.
- R1
“the delivery date moved after I paid”
Delivery date instability - R4
“The date changed from Tuesday to Thursday in the confirmation”
Delivery date instability - R2 · COUNTER
“The estimate said Friday and it arrived Friday”
Accurate-date counterexample
- R1
A2 · HighDisambiguate estimate language: replace bare durations with "ships in" vs "arrives by" Evidence R3 — customer couldn't parse "2 days". Approval required. No ticket write-back.
- R3
“I could not tell whether '2 days' meant dispatch or arrival”
Semantic ambiguity
- R3
Four evidence-linked actions. approvalRequired=true. No ticket write-back.
FIRST WORKING RESULT
An evidence-linked action list with original review text
Every proposed action still points at a verbatim quote span.CONTROLLED NON-REAL SAMPLE
Delivery Estimate Accuracy Review
Product 2.1 · Singapore · 2026-08-24 through 2026-08-30 · five controlled non-real reviews R1–R5
- Delivery date instability (R1, R4 — high confidence)
- Semantic ambiguity (R3 — moderate): “I could not tell whether '2 days' meant dispatch or arrival”
- Late estimate visibility (R5 — moderate): “the delivery estimate was only shown at the final step”
- Strengths to protect — checkout speed (R1, R4), payment ease (R3), pricing clarity (R5)
Verbatim R1–R5 theme groups, four evidence-linked actions, approvalRequired=true, no ticket write-back, and checkout-delivery-estimate-analysis.json (9.2 KB).
HOW THE QUOTES STAY ATTACHED
Group the language. Do not flatten the disagreement.
Review summaries often flatten disagreement and detach recommendations from the words that produced them. Teams then debate a theme without knowing whether it came from repeated evidence, one loud comment, or a sarcastic sentence.
- 01
You provide anonymized reviews and define the product area and sample boundaries.
- 02
VoiceTrellis groups related language while preserving each review and exact quote span.
- 03
It keeps opposing or uncertain signals visible and drafts actions only when supporting quotes are attached.
- 04
Your team checks the themes, confirms priorities, and decides whether any action should enter its normal planning process.
Tentative themes linked to the original review records
Verbatim quote spans that support or challenge each theme
Mixed, hedged, or sarcastic signals marked for human confirmation
A proposed action list where every item carries quote evidence
A review handoff with no automatic ticket or workflow write-back
WHAT YOU CLIP ONTO THE TRELLIS
A bounded, anonymized sample — not a live feed.
Product, ecommerce, and customer-experience teams with a defined review sample that is too large to sort manually but small enough to inspect against the original text.
- 01
An anonymized set of original review text with stable source references
- 02
Product or service version, region, channel, and date range
- 03
The customer journey or product area the analysis should examine
- 04
Any existing theme or severity vocabulary the team wants compared
HUMAN CONFIRMATION
A theme is a reading. An action is a draft.
Five controlled reviews do not establish population prevalence. VoiceTrellis neither resolved the mixed signal nor applied an action. A person must review and approve the four proposed actions; the run did not write them into tickets.
- Feedback that still contains names, contact details, or other private customer data
- Treating a small or biased sample as a complete picture of every customer
- Assuming sentiment, severity, sarcasm, or theme labels are calibrated facts without human confirmation
- Automatically creating tickets, changing a roadmap, or publishing an action list without approval
STARTER
Open a quote-first review workspace.
$19.00 is stated here before you register; card payment runs through Stripe Checkout inside the signed-in workspace.
BEFORE YOU SHARE A SAMPLE
Questions
What review data should I provide?
Provide anonymized original review text with stable source references, plus the product version, region, channel, date range, and product area you want to understand.
How can I check a theme?
Each tentative theme points back to verbatim quote spans in the supplied reviews, including quotes that challenge or complicate the pattern.
What happens with sarcasm or mixed feedback?
Mixed, hedged, or sarcastic signals are marked for human confirmation instead of being forced into a confident sentiment or severity label.
What makes an action evidence-linked?
A proposed action must carry at least one quote reference from the original review text, so reviewers can inspect the language behind the recommendation.
Will VoiceTrellis create tickets or change our roadmap?
No. It prepares an action list for human review and does not write back to a ticketing system or make product decisions automatically.