NPS detractor comments examples (real user feedback)

Real examples of NPS detractor comments grouped into patterns to help you understand why users score low and where your product is losing trust.

Broken or Unreliable Integrations

"our Salesforce sync broke for the third time this month and nobody on support could tell me why — we had duplicate contacts everywhere and had to clean it up manually"
"the Zapier integration just stopped firing triggers after your last update, no warning, no changelog note, nothing. took us two days to even figure out what happened"

Slow or Unhelpful Customer Support

"I submitted a ticket on a Tuesday and got a response the following Monday. by then we'd already found a workaround ourselves. what are we paying for exactly"
"the support person just kept sending me links to the same help doc I'd already read. felt like they hadn't actually looked at my account at all"

Pricing Feels Misaligned with Value

"we got charged for an extra seat because one contractor logged in once. I understand the policy but it felt really punitive for a $12k/year customer"
"the plan we're on doesn't include API access which is basically the only reason we wanted the tool — that should not be an enterprise-only feature"

Core Features That Don't Work as Expected

"the bulk export just times out if you have more than like 2000 rows. I've reported this twice and it's been 'on the roadmap' for six months"
"filtering by date range in the dashboard gives different numbers than the CSV export for the same period. which one is right? we genuinely don't know"

Onboarding Left Them Confused or Unsupported

"we had one kickoff call and then nothing. I didn't even know we had a CSM until I went looking through old emails. felt like we were just dropped"
"the onboarding checklist tells you what to do but not why, so we set things up wrong for our use case and didn't realize for like three weeks"

What these NPS detractor comments reveal

  • Detractors are specific, not vague
    Unlike passive scores, detractor comments almost always point to a concrete failure — a broken feature, a missed SLA, or a pricing moment — giving you actionable signal rather than general dissatisfaction.
  • Trust erodes in clusters, not in isolation
    When you group detractor comments by theme, you often find that the same users experienced multiple friction points, meaning one fix may not be enough to recover the relationship.
  • Support quality amplifies product problems
    Many detractor comments mention the product issue second and the support experience first, suggesting that how you respond to failures matters as much as the failures themselves.

How to use these examples

  1. Pull your last 90 days of NPS detractor responses and tag each one with a single primary theme — integrations, support, pricing, features, or onboarding — so you can count which category appears most often before drawing conclusions.
  2. Share the top two themes with both your product and customer success teams in the same meeting, since detractor patterns almost always require a cross-functional response rather than a fix from one team alone.
  3. For each recurring theme, identify whether the problem is a one-time bug, a product gap, or a communication failure — the root cause determines whether engineering, CS, or marketing owns the resolution.

Decisions you can make

  • Prioritize which integration bugs to escalate to engineering based on how frequently they appear in detractor comments, not just internal bug reports.
  • Redesign your onboarding sequence to include use-case-specific guidance after identifying that generic setup instructions are leaving users misconfigured.
  • Set a first-response SLA target for support tickets and tie it to detractor rate after confirming that slow replies are a top complaint theme.
  • Revisit your plan feature gating — specifically which features are locked to enterprise tiers — after seeing repeated pricing-related detractor comments from mid-market users.
  • Create a 30-day check-in touchpoint from your CSM team after onboarding calls, in response to detractor feedback showing customers feel abandoned post-kickoff.

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