Test Design Consultation
Before you launch, we help you frame the hypothesis, pick primary metrics, set a stopping rule, and avoid common assignment pitfalls.
Datastackpoint
We read your A/B tests the way product decisions deserve: sample quality, lift credibility, and a plain-language verdict your Bangkok team can act on.
Bring one finished or paused test. We pressure-test assignment, metric choice, and exposure windows, then return a written recommendation: ship, iterate, or keep the control.
Design before launch, weekly interpretation while tests run, and funnel measurement checks when results keep disagreeing with product intuition.
Before you launch, we help you frame the hypothesis, pick primary metrics, set a stopping rule, and avoid common assignment pitfalls.
A standing weekly slot where we interpret active A/B tests with your team — what moved, what is noise, and what to do next.
An audit of how your app funnel events are defined and whether they are fit for A/B testing performance analytics.
Teams ask us in when a chart looks decisive and the room still disagrees.
“We had two variants and three opinions. Datastackpoint walked through our assignment logs and showed that a chunk of Android traffic never saw the new paywall. Once that was fixed in the story, the “win” looked much smaller — and we avoided a messy rollout.”
Note: The written readout is thorough; set aside time to brief stakeholders rather than forwarding the PDF cold.
“The weekly slot forced us to stop treating mid-week dips as emergencies. Nalinee kept bringing us back to the planned window and the guardrails we had ignored.”
“Our “booking complete” event fired on the confirmation screen load, not on confirmed appointment. The health check caught it before we ran another pricing test on bad ground.”
Share the hypothesis, variants, and export. We reply within one business day with scope and timing for an Experiment Performance Review.
Write to Datastackpoint