Where we test growth in the field
The loop
From friction to published learning
Experiments are how Kilele proves growth—not slides. Pulse names the barrier, you co-design the test, Hub runs it, Labs documents what we learn, and Insights publishes the story when it is ready to teach.
- Hypothesis first. Every lab card states what we believe and how we will know if we are wrong—before scale.
- Honest status. Active, learning, and planned labels so you see what is live—not a polished case study pretending certainty.
- Action over vanity. We measure downstream behavior, not opens alone. Field notes tie back to journeys Hub can run.
Diagnose friction, sludge, and barriers—what stops intent from becoming action.
Scope the experiment with a Growth Audit or Experiment-as-a-Service offer.
- 3Hub
Execute journeys and measure action—not vanity metrics alone.
- 4Labs
Document hypotheses, tests, and learnings in public as work progresses.
Publish evidence-led reads when field work is ready to teach others.
Active in the field
Experiments running now
Live hypotheses and early reads—use View full details for the registry entry below.
SMS journey A/B tests with SME cohorts
Clear deadlines and one-tap payment links lift same-week conversion more than generic reminders.
Learning · Early reads show stronger action when amount and deadline appear before the link.
Public program uptake pilots
Citizen uptake rises when friction is named and the next step is one clear action.
Learning · Drop-off clusters around document upload and unclear eligibility language.
AI message studio workflows
Teams approve AI-written messages faster when each draft explains what we want the reader to do—and why—not just the words on the page.
Learning · Early reads: reviewers sign off sooner when each draft states the intended action in plain language.
Full registry
All experiments, pilots & patterns
Filter by status or type—hypothesis, test plan, and links to Pulse, Hub, and Insights.
Status
Type
Synthetic audience thinking cards
ResearchplannedStructured prompts for testing message variants before send.
Hypothesis
Structured audience prompts surface weak framing before live tests burn reach.
What we're testing
- ·Prompt cards by journey stage
- ·Objection surfacing patterns
- ·Pre-send review checklist
Testing: Pulse diagnosis
Next milestone
Internal prompt library and review rubric—field pilot to follow.
Field note coming to Insights when ready.
Sludge audit pattern library
PatternlearningReusable friction patterns from field audits.
Hypothesis
Named sludge patterns speed diagnosis and make experiment design more repeatable.
What we're testing
- ·Pattern taxonomy from Pulse audits
- ·Severity and lever tags
- ·Links to experiment templates
Testing: Pulse diagnosis
Learning so far
Repeated patterns: hidden steps, unclear eligibility, and consent walls without payoff.
Hub growth analytics readouts
PilotplannedConnecting sends to action—not opens alone.
Hypothesis
Growth teams act faster when readouts tie messages to downstream behavior, not vanity metrics.
What we're testing
- ·Action-based KPIs per journey
- ·Cohort comparison views
- ·Experiment outcome summaries
Testing: Pulse diagnosis · Hub trial launch
Next milestone
Readout template aligned with experiment canvas—Hub trial cohorts first.
Published from the field
When learnings are ready to teach
Insights reads that started as documented work in Labs.
Why Experimentation Beats Guessing in Customer Communication
Strong teams do not rely on intuition alone. They test what customers actually respond to—one clear hypothesis, one measurable outcome, one learning at a time.
5 min read · ExperimentationImproving Public Program Uptake with Pulse, AI, and Hub
Health uptake, tax compliance, and enrollment improve when teams diagnose behavior, design ethical outreach, and measure real action—not just messages sent.
7 min read · Behavioral ScienceFrom Pulse Output to Hub Execution: Closing the Loop
A Pulse audit is only valuable if the team can ship and measure the fix. Here is how AI helps translate barriers and test ideas into Hub-ready journeys.
6 min read · AI and AutomationHow to Build a Test, Learn, Improve Culture in Customer Communication
One strong campaign is not a strategy. Build a test, learn, improve culture so your team runs disciplined experiments, shares learnings, and fixes journeys with evidence.
6 min read · ExperimentationWant to co-design an experiment or pilot?
Scope a growth experiment—or start with a Behavioral Growth Audit if you need diagnosis first.