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Enterprise-tier request-threshold view for roadmap planning

Build a customer-request view that filters for strategic segments and a minimum request count so roadmap meetings start from concentrated demand instead of anecdotes.

rare tactic
Best-fit channelProduct · Analytics · Customer Success
Stage + contextprioritization · b2b · roadmap · customer evidence
BudgetFreebudget tier
Suggested operator signalUsers who resolve the issue and complete the next useful action

Why this can grow a startup

A raw pile of requests makes everything look equally important. A filtered view forces the harder question: which issues are repeated by the accounts that matter most? When product can sort by segment and request concentration, the roadmap discussion gets closer to revenue reality and farther from whichever complaint was forwarded most recently.

Source-backed example

Linear's Customer Requests docs suggest a view for Enterprise customers where each issue has at least 20 requests, then ordering it by customer count to surface the highest-demand work.

Source-reported evidence

Source: Linear Docs · Browse Linear Docs tactics

Example view: Enterprise tier plus at least 20 requests per issue, ordered by customer count

Attributed to the cited source; GrowthDex has not independently verified it. Use this as context, not as a forecast, benchmark, or recommended target.

Evidence scope: claims and metrics are attributed to the linked source; GrowthDex has not independently replicated the reported result. Check the original context and validate fit before applying it. Read the evidence methodology.

Source discovered: May 26, 2026

ProductAnalyticsCustomer Successprioritizationb2broadmapcustomer evidence
GrowthDex operator note

When to use it

Use this when Product, Analytics, Customer Success is relevant to prioritization, b2b, roadmap and you can run a bounded test with a free budget.

When not to use it

Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.

How to do it

  1. Choose one target segment and define the exact next action this tactic should prompt.
  2. Adapt the tactic to Product and Analytics, using evidence from Linear Docs as context—not as a promised result.
  3. Record a baseline for: Users who resolve the issue and complete the next useful action. Set a guardrail that would make you pause the test.
  4. Run a narrow pilot and choose a test window that fits the normal decision or use cycle; do not scale before you have observed the full cycle.
  5. Compare the signal with its baseline. Scale only if the intended action improves without crossing the guardrail; otherwise revise one variable or stop and record what you learned.
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