BenchRank
#28 in Project & Work ManagementUpdated 2026-08

UserVoice

by UserVoice · Customer feedback weighted by account revenue data

BenchRank score

45.6 — BenchRank score out of 100

Screenshots of UserVoice

Homepage · UserVoice

Homepage of UserVoice

Overview

UserVoice is a customer intelligence platform that centralises feedback from support tickets, NPS surveys, sales calls and product portals. It connects to tools such as Salesforce, Zendesk, Gong, Gainsight, Jira, Azure DevOps and Slack, enriching each piece of feedback with the account, ARR and contract data it came from, then uses AI to detect themes and weight requests by revenue impact.

Best for
Product, customer success and revenue teams that need feedback tied to account and ARR data
Pricing
No prices are shown; the pricing page says plans are based on feedback volume, tools used and integrations connected rather than seats, with a 30-day trial arranged via a demo booking.
Runs on
Web

Strengths and trade-offs

Strengths

  • Integrates with Salesforce, Zendesk, Gong, Gainsight, Jira and Slack
  • Priced by usage, not per seat, so every team can be given access
  • SOC 2 Type 2 certified, GDPR compliant, built to WCAG standards
  • 30-day trial and onboarding guided by a dedicated CSM

Trade-offs

  • No prices published; you must talk to sales for a quote
  • Most teams take 4-6 weeks to launch, 1-2 weeks of that technical setup
  • Cost rises with feedback volume and the integrations you connect
  • Trial requires booking a demo rather than self-serve signup

How UserVoice markets itself

A structured read of the promise, proof and page design on UserVoice’s captured homepage.

Homepage capture

“Get clear on what customers want. Get ahead of what it means for revenue.”

  • Angle: Outcome / benefit-led
  • Hero: Abstract graphic

Pricing

Published plans and prices from UserVoice’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Pricing transparency

    Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

  • Maintenance

    Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.

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Where this comes from

The UserVoice pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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