CASE STUDY / 04
DETERMINISTIC EXPERIMENTATION & RESEARCH GOVERNANCE
QRSIP — QUANT RESEARCH STRATEGY INTELLIGENCE PLATFORM
Deterministic quantitative experimentation and research governance platform.
QRSIP governs the life of a quantitative research idea: hypothesis → experiment → verification → artifact → report → promotion. 352 tests with deterministic fixtures, CI security validation, and a promotion gate that decides when evidence is strong enough to graduate a strategy.
EVIDENCE INSTRUMENT / PROJECT-SPECIFIC
INSTRUMENT / GOVERNANCE FLOW
INSTRUMENT / EXPERIMENT TOPOLOGY
Experiment states across the verification landscape. Nothing reaches PROMOTION without a verified artifact and a documented limitation.
PROBLEM
Quantitative research dies in notebooks. An idea is explored, a chart looks promising, and a number gets screenshotted — but the exact conditions that produced it are lost.
Without governance, results cannot be promoted with confidence, and failures cannot be distinguished from successes because neither was recorded with sufficient discipline.
MOTIVATION
I wanted the research process itself to be a system: every hypothesis explicit, every experiment reproducible, every promotion decision backed by verified evidence.
The platform treats a strategy like a release candidate — it must pass verification before it ships.
RESEARCH QUESTION
Can the full lifecycle of a quantitative experiment — from hypothesis to promotion decision — be captured as deterministic, verifiable artifacts?
OBJECTIVE
- Encode the research workflow as explicit stages with defined entry and exit criteria
- Make every experiment reproducible through deterministic fixtures
- Produce verifiable artifacts and reports automatically from runs
- Gate strategy promotion on verified evidence
ARCHITECTURE
VISUAL METAPHOR — EXPERIMENT GRAPH / VERIFICATION PIPELINE
ARCHITECTURE — DATA PATH
ARCHITECTURE DIAGRAM — THE DOCUMENTED LAYERS, NOT A MEASUREMENT
- 01
HYPOTHESIS
Research intake
- Ideas registered before experiments run
- Falsifiable statements with defined evidence
- 02
EXPERIMENT
Deterministic execution
- Deterministic fixtures for reproducibility
- 352 tests across the workflow
- 03
VERIFICATION
Evidence checking
- Results verified against fixture expectations
- CI security validation
- 04
ARTIFACT
Evidence capture
- Runs produce complete, versioned artifacts
- Config, code revision and outputs recorded
- 05
REPORT
Structured reporting
- Reports generated from artifacts — not hand-written
- Limitations recorded alongside results
- 06
PROMOTION
Governance gate
- Strategies graduate only on verified evidence
- The gate is a decision, not a formality
DATA FLOW
PIPELINE — 6 STAGES, IN ORDER
- 01A hypothesis is registered with its falsifiable claim and required evidence
- 02The experiment stage executes deterministically against fixtures
- 03Verification checks results; failures block progression
- 04Artifacts capture the complete run state
- 05Reports are generated from artifacts
- 06The promotion gate decides whether evidence justifies graduating the strategy
METHODS
- Deterministic fixtures — experiments produce identical results across runs
- Verification before reporting — unverified results cannot become reports
- Artifact-first evidence — every claim traces to a versioned run output
- CI security validation on the workflow itself
RISK / VALIDATION
- Governance risk: an unverified strategy reaching promotion — blocked by the gate
- Reproducibility risk: results that cannot be regenerated — blocked by deterministic fixtures
- Evidence risk: hand-edited reports — reports are generated from artifacts
EXPERIMENTS
Workflow verification
COMPLETEDDoes every stage transition enforce its entry and exit criteria?
352 tests verify the workflow with deterministic fixtures.
Promotion gate integrity
COMPLETEDCan a strategy pass promotion without verified evidence?
The gate requires verified artifacts; unverified strategies are held.
CI security validation
COMPLETEDDoes the workflow withstand CI-level security validation?
CI security validation integrated into the experiment pipeline.
RESULTS
352
TESTS
TEST-SUITE
DETERMINISTIC FIXTURES
pytest 8.4.2 on Python 3.12; 352 passed at baseline 8fc4590 (2026-09-25)
6
WORKFLOW STAGES
HYPOTHESIS → PROMOTION
ALPHA
PLATFORM STATUS
CORE WORKFLOW LIVE
QRSIP is alpha-stage: the hypothesis-to-promotion workflow is implemented and tested, but this is a governance platform still under development. Systems deferred to later stages are listed as planned, not implemented.
LIMITATIONS
- Alpha status — the platform is operational for its core workflow, not complete
- Some planned capabilities remain deferred and are not implemented yet
- The promotion gate currently governs a small strategy population
- External acceptance evidence (clean-container run) remains outstanding - last verification 2026-09-25 at baseline 8fc4590
CURRENT STATUS
ALPHA
Alpha stage — core workflow implemented; deferred systems not yet built.
EVIDENCE
LAST VERIFIED 2026-09-25 — pytest 8.4.2 (Python 3.12): 352 passed; CI and Security workflow runs passed · BASELINE 8fc4590 · VIEW THE RUN →
STATUS
Alpha-stage workflow: hypothesis → experiment → verification → artifact → report → promotion
INTERACTIVE LAB
EXPERIMENT POPULATION — SEEDED ILLUSTRATION OF VERIFIED VS ONGOING RUNS