Customer page sorted by important and in-progress work
Use the customer page as a live account view that groups important and in-progress requests, so the team can see what matters to that customer without rebuilding the story in a slide deck.
Why this can grow a startup
A lot of product evidence dies because it gets flattened into a generic backlog. When a customer page can group and order the requests that are important or already moving, the account story stays attached to the account. That helps success, product, and sales talk about the same work without arguing over which screenshot or spreadsheet is current.
Source-backed example
Linear's Customer Requests docs say customer pages can group and order issues so teams can see which requests have been marked important or are already in progress.
Source-reported evidence
Source: Linear Docs · Browse Linear Docs tactics
Customer pages can group and order requests by importance and progress state
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 27, 2026
When to use it
Use this when Product, Customer Success, Sales is relevant to account visibility, prioritization, roadmap communication 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
- Choose one target segment and define the exact next action this tactic should prompt.
- Adapt the tactic to Product and Customer Success, using evidence from Linear Docs as context—not as a promised result.
- 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.
- 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.
- 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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