Linear start and target dates before graph guesswork
Set project start and target dates early so the project graph can estimate completion from live scope and velocity instead of leaving the timeline vague.
Why this can grow a startup
A trial workspace starts to feel real when it can answer 'when will this ship' with something more defensible than opinion. Linear's project overview makes that practical: the start date is required for project graphs, the target date is required to estimate completion, and the sidebar graph uses live scope and velocity to project progress. That turns setup metadata into proof. The buyer can see whether the new system helps planning before the full cutover happens.
Source-backed example
Linear's project overview requires a start date for project graphs and a target date to estimate completion, then shows a project graph in the details sidebar with scope, velocity, progress over time, and live completion predictions.
Source-reported evidence
Source: Linear Docs: Project overview
Linear ties the start date to project graphs and the target date to completion estimates, then uses live scope and velocity in the project graph sidebar.
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.
When to use it
Use this when Product, Onboarding, Developer Tools is relevant to project setup, planning proof, activation and you can run a bounded test with a low 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 Onboarding, using evidence from Linear Docs: Project overview as context—not as a promised result.
- Record a baseline for: Share of target users completing the product's first-value 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.
Compare a stack for your situation
Compare source-backed tactics against your product, stage, budget and channel strengths, then choose one experiment to test.
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Apply this with an operator
Choose product surfaces that compound distribution without hiding weak activation or retention.