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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 free budget Product, Analytics, Customer Success Stages: prioritization, b2b, roadmap, customer evidence

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.

Key metric to watch

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

Ian's take

From scaling consumer platforms across MENA and Southeast Asia, my default is to distrust growth work that only looks good in a slide. My bias is to treat this as a small market test first. Make the audience narrow, make the promise concrete, and let the first real response decide whether it deserves more work. I would run it small enough to learn quickly, then only scale the parts that real users repeat, save, reply to, or buy from. For this tactic, I would watch one clear growth signal before putting more time or budget behind it.

Action plan

  1. Define one narrow startup segment where enterprise-tier request-threshold view for roadmap planning can create a measurable lift.
  2. Turn the tactic into one offer, page, campaign, or workflow for the Product and Analytics channel.
  3. Use the evidence from linear.app to set the first version of the message, format, and audience.
  4. Launch a small test for 7 to 14 days with one success metric: one measurable growth signal.
  5. Review the result, keep the winning message, remove weak variants, and turn the learning into a repeatable growth playbook.

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: Linear Docs (linear.app)

GrowthDex source hub: Linear Docs

Last checked: 2026-05-26

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Ian Goh has helped grow consumer platforms across Southeast Asia, India, and MENA. His work includes scaling Tiki to 100M+ users, doubling BIGO's MENA revenue in 7 months, and increasing OYO's direct booking share across 6 Southeast Asian markets.

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If you want someone to pressure-test this against your real market, Ian works with founders on growth, market entry, and operator-led distribution.

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