Understand what changed.
Know what to try next.

Investigate changes across product, revenue, and reliability. Keep the evidence, decisions, shipped changes, and results in one case.

Put the numbers in business context.

Define each outcome and keep its calculation, source, and relationships attached to every analysis.

Outcome

Define the outcome.

Set the metric, calculation, and source.

Relationships

Map the relationships.

Connect related records and keep missing links visible.

Meaning

Keep definitions versioned.

Preserve the definition used for each observation as your context changes.

One investigation. Keep the story together.

Keep evidence, hypotheses, decisions, shipped changes, and evaluation in one case.

Know where to look.

Find meaningful changes across product, billing, and reliability. See the evidence and gaps behind them.

Follow the evidence.

Pull the facts, compare signals, and surface gaps before drawing a conclusion.

Decide what to try.

Compare explanations, record the decision, and tie what ships back to the reasoning.

Know what happened next.

Set the baseline, target, and guardrails. Evaluate what changed after it ships without overstating cause.

Every conclusion comes
with its working.

See the sources, calculations, and comparisons behind every conclusion, including what is missing or uncertain.

Our approach to evidence

A clue isn’t a cause.

Keep hypotheses separate from facts and tied to the evidence behind them.

A proposal isn’t what shipped.

Keep the proposed action separate from what actually shipped.

Movement isn’t automatically success.

Judge results against the baseline, target, and guardrails. Improvement alone does not prove success or causation.

Before the analysis
Ready
Requirements met. Evidence is verified as the analysis runs.
Ready with limitations
Known gaps limit the analysis.
Blocked
Required context or evidence is missing.
After a completed evaluationInconclusive

Evidence is insufficient for a reliable conclusion.

Bring the question that matters.

Start with the question. OS connects the evidence across systems when needed.

Product behaviour

Where are people dropping out?

Find where users drop from a journey for a defined population and comparison period.

Product usage evidence
Reliability

Did errors rise where conversion fell?

Compare reliability and conversion over the same period, then test competing explanations.

Reliability + product usage evidence
Revenue

What contributed to the MRR change?

Break MRR movement into new revenue, expansion, reactivation, contraction, and churn.

Subscription evidence

Keep the tools your team already uses.

OS works alongside your analytics, billing, and reliability tools. They remain your systems of record.

Explore how OS approaches product investigations.

Read the investigation model, evidence principles, and product thinking before launch.

Get notified when Prolytics OS launches.

We’ll email you when it’s ready.