The use case: how Wizehire deploys Statsig
Wizehire uses Statsig's feature flags, experimentation, and product analytics to ship changes behind flags, test in production, and measure user behavior. Product, engineering, QA, support, and leadership teams use it to gate rollouts, run conversion experiments, and monitor dashboards.
In the customer’s words
We’re shipping more than ever, and our functional risk on feature rollouts is effectively near zero. If something looks off, we flip a switch. It’s changed our pace and our confidence.We use Statsig's analytics to bring rigor to the decision-making process across every team at Wizehire.Other companies using Statsig
Customers across industries, with public evidence.
AncestryConfirmed
Bed bath & beyondConfirmed
BrexConfirmed
CaptionsConfirmed
CiderConfirmed
Equal AIConfirmedGo straight to the source
Based on Statsig’s published case study. We check the public evidence; the results are reported by the vendor.
statsig.com- Last checked
- Nov 12, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 4xChecked
The figure is on the page; its label is our wording.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Wizehire.
- Wizehire uses StatsigChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Shipping velocity has increased by roughly four times year over year, with the second half of 2025 already ahead of the first. A flags first SDLC and UAT in production shorten QA loops and remove the need to mirror production conditions in staging.