Baseline and post-pilot survey for switch proof
Use the same short survey before and after a pilot so the internal case for change rests on measured deltas instead of vibes.
Why this can grow a startup
Buy-in gets weaker when the champion can only say the new tool felt better. Linear's pilot guide recommends a baseline survey before the pilot and the same survey after, covering adoption, friction, productivity, and visibility. That turns an internal rollout into a before-and-after story leadership can compare quickly.
Source-backed example
Linear's switch guide includes a baseline survey before the pilot and a matching post-pilot survey to measure how the new workflow changed daily work.
Source-reported evidence
Source: Linear Pilot Guide · Browse Linear Pilot Guide tactics
Linear recommends repeating the same pilot survey before and after the trial.
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 28, 2026
When to use it
Use this when Product Ops, Analytics, Enablement is relevant to migration, measurement, change management 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 Ops and Analytics, using evidence from Linear Pilot Guide as context—not as a promised result.
- Record a baseline for: Target users who complete the tactic’s intended next 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
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