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Intempt
Experimentation Lead · Part of Blu

Test faster.Ship what wins.

Structured CRO cycles and segment-level personalization on every surface.

Free plan available · No credit card required

Experimentation Lead
LiveGive the Experimentation Lead a prompt.
Experimentation Lead
Experimentation LeadOnline · ready to run skills
G2
0.0on G2
1B+events
7+years profitable
50+companies

What the Experimentation Lead actually does.

Three capabilities, working together on your customer context.

Hypothesis-driven testing

Every experiment starts with a hypothesis, primary metric, guardrail metric, and sample size calculation.

Visual personalizations

Show different content to different segments based on behavior, traffic source, or lifecycle stage.

Ship decision framework

The Experimentation Lead tells you when results are significant, recommends ship or hold, and explains the trade-offs.

How it works

4 steps, from prompt to shipped artifact

Each step earns the next. You approve at every gate; the agent drafts inside them.

Funnel · Drops rankedICE-scored
01
Pricing → checkout
-24% · impact 8
biggest
02
Product → detail
-11% · impact 6
medium
03
Cart → checkout
-8% · impact 5
small
04
Detail → cart
-6% · impact 4
small
Step 01

Find the highest-impact drop

Builds your funnel, ranks steps by ICE score, surfaces the biggest opportunity to test.

Test · Specgated
01
Hypothesis
sticky nav lifts add-to-cart
stated
02
Primary metric
add_to_cart rate
chosen
03
Sample size
min 3,200 per arm · 14 days
80% power
04
Guardrail
session-time > 60s
tracked
Step 02

Design the experiment

Hypothesis, variants, primary metric, guardrail, sample size - defined before a pixel moves.

Run · Dailylive
01
Day 5
+9% · p=0.12
not sig
02
Day 9
+7% · p=0.06
close
03
Day 12
+8% · p=0.03
significant
04
Guardrail
session-time steady
OK
Step 03

Run and monitor

Tracks significance and confidence intervals live. No spreadsheet, no manual calculation.

Decision · Shiprecommended
01
Recommendation
SHIP
confirmed
02
Lift
+8% add-to-cart · 95% CI
measured
03
Rollout
100% Monday 06:00
queued
04
Next test
cart page price anchoring
drafted
Step 04

Ship, then design the next

Recommends ship or kill with the reasoning, then designs the next test from what you learned.

Hire the role, or deploy the agent?

Same job, different cost, ramp, and coverage. Fully-loaded headcount vs the agent that runs 24/7 on your customer data.

Hiring an Experimentation LeadThe AI Experimentation Agent
Annual cost$100,000 base + benefits$0 on Free plan, from $24/seat/mo paid
Tests designed per quarter8-12, gated by capacityAs many as your traffic can power
Sample size calculationManual, spreadsheetAuto, before launch, blocks under-powered tests
Guardrail metric trackingIf they remember to define oneRequired field, flagged live if breached
Ship or hold decisionJudgement, sometimes debatedRecommends with reasoning; human decides
Personalization from test winsRebuild the segment by handSame segment reused with one click

US Glassdoor median base salary, 2026. Fully-loaded cost adds 25-35% for benefits, equipment, and payroll tax.

Questions? Answered.

Everything worth asking before you invoke this agent.

Intempt Design

Hire the Experimentation Lead.

Set the strategy. The Experimentation Lead runs the plays on your real customer context, 24/7, alongside the other 8 agents in Blu.

Start for free