Product Growth Diagnostics_ARCHITECTURE

Beyond the P-Value: AI Root-Cause Experiment Diagnostics

Feature flag tools tell you Variant B won. Arcli's AI tells you *why*, autonomously slicing millions of events to find hidden segments, guardrail breaches, and Sample Ratio Mismatches.

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The Engineering Cost of Experimentation
Data engineering teams spend 30% of their time answering follow-up questions about finished A/B tests. Standard dashboards fail to detect underlying anomalies like **Sample Ratio Mismatch (SRM)** or global metric degradation. By pushing **statistical significance calculations** directly down to the data warehouse via **SQL**, Arcli completely eliminates this operational drag, providing Product Managers with mathematically rigorous, conversational diagnostic answers without pulling raw data into memory.
// STRATEGIC_SCENARIO

Deep Data Retrieval

How Arcli grounds AI in your exact schema to generate highly-optimized, dialect-specific execution logic.

Data Insight

Simulated Simpson's Paradox: Global Conversion (Up 4%) vs. Segment Conversion (iOS Down 12%, Android Down 8%, Web Down 5%)

THE EXECUTIVE FILTER (ROI)

Simulated Simpson's Paradox: Global Conversion (Up 4%) vs. Segment Conversion (iOS Down 12%, Android Down 8%, Web Down 5%)

  • Fully optimized for SQL constraints.
  • Bypasses semantic layer hallucinations via strict schema grounding.
SQL_COMPILE
-- Query logic omitted
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Core Capabilities

The technological foundation behind the unified engine. Designed to completely bypass manual RevOps bottlenecks.

Why did the new checkout flow cause a drop in retention for Enterprise users?

Root-cause anomaly detection across specific user cohorts.

Did Variant A hit statistical significance for users acquired via Meta Ads?

Sub-segment confidence interval generation.

Are there any guardrail metrics showing degradation in the pricing experiment?

Automated multi-metric variance scanning.

// STRATEGIC_SCENARIO

Deep Data Retrieval

How Arcli grounds AI in your exact schema to generate highly-optimized, dialect-specific execution logic.

The Engine Room: Automated SRM Chi-Square Testing via SQL

AI shouldn't invent statistical formulas. Arcli enforces rigorous mathematical standards by mapping user intent to governed SQL macros. Here is how Arcli autonomously detects Sample Ratio Mismatch (SRM) directly in DuckDB.

THE EXECUTIVE FILTER (ROI)

By pushing statistical compute down to the warehouse, Arcli avoids pulling millions of raw event rows into memory—ensuring sub-second diagnostic analysis, absolute data privacy, and mathematically verified test validity.

  • Fully optimized for sql constraints.
  • Bypasses semantic layer hallucinations via strict schema grounding.
sql_COMPILE

-- AI Agent Generated: SRM (Sample Ratio Mismatch) Chi-Square Validation
-- Dialect: DuckDB
WITH variant_counts AS (
    SELECT 
        variant_name,
        COUNT(DISTINCT user_id) AS observed_users,
        (SELECT COUNT(DISTINCT user_id) FROM tenant.experiment_logs WHERE experiment_id = 'exp_checkout') AS total_users
    FROM tenant.experiment_logs
    WHERE experiment_id = 'exp_checkout'
    GROUP BY variant_name
),
expected_traffic AS (
    -- Assuming a 50/50 intended split for this experiment
    SELECT 
        variant_name, 
        observed_users, 
        total_users * 0.5 AS expected_users
    FROM variant_counts
)
-- Calculate Chi-Square Statistic: Sum of ((Observed - Expected)^2 / Expected)
SELECT 
    variant_name,
    observed_users,
    expected_users,
    POWER(observed_users - expected_users, 2) / expected_users AS chi_square_component,
    CASE 
        WHEN (SUM(POWER(observed_users - expected_users, 2) / expected_users) OVER()) > 3.841 
        THEN 'SRM Detected (p < 0.05)' 
        ELSE 'Valid Split' 
    END AS srm_status
FROM expected_traffic;
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The Competitive Edge

Why the world's most aggressive teams are migrating from legacy stacks to Arcli's unified engine.

Category

LEGACY_APPROACH

ARCLI_ADVANTAGE

Category

LEGACY_APPROACH

ARCLI_ADVANTAGE

Category

LEGACY_APPROACH

ARCLI_ADVANTAGE

Category

LEGACY_APPROACH

ARCLI_ADVANTAGE

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Strategic Deployment

Real-world orchestration patterns deployed by our top enterprise partners.

Guardrail Metric Protection

A new search algorithm increases click-throughs. Arcli automatically cross-references exposure data against downstream semantic definitions (e.g., Stripe Net Revenue), revealing that while engagement is up, high-value users are abandoning carts. A net-negative financial impact is caught before 100% rollout.

Isolating Sub-Segment Winners

Variant C lost globally. Arcli's diagnostic agent executes automated dimensional slicing and discovers Variant C actually increased conversion by 14% specifically for 'Returning Users on Android 12+'. The product team pivots to a targeted rollout instead of discarding the work.

// RELATED_MODULES

Explore Deep Dives

Discover specific architectural setups and orchestration patterns.

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// DOCUMENTATION

Expert Insights

Everything you need to know about implementing Arcli's engine into your stack.