Screens

Proof

Outcome lift: did hot accounts actually turn into pipeline? The numbers, with methodology.

Proof answers the only question a pilot is really about: did the Event scores predict pipeline? Every number is transparent counting over your own logged data — no model, no weights — and every definition ships next to the numbers in the Methodology card.

app · ProofThe Proof report

Reading the report

SectionWhat it shows
Headline liftHow much more often hot accounts (Event ≥ 85) became opportunities than never-hot accounts. Appears once at least 5 opportunities exist in the period; until then the lift tile reads “n/a”. A small hot cohort carries a “Small sample — read as directional” caption.
FunnelContacted → meeting → opportunity → closed won, for the hot cohort vs the baseline, as shares of each cohort. “Closed won” counts accounts that closed, not opportunities, and an opportunity counts as “went hot” only if it was created after the account first reached the threshold. An empty cohort shows “—”.
Lift by stageThe two rates side by side with the ratio — “n/a” until the period has enough opportunities and the baseline converts (the same rule as the headline), never a fake number.
Score at creationEvery opportunity bucketed by the account's event score at the moment it was created.
Which signals convertPer signal type: conversion rate of accounts that showed it vs accounts that didn't. Only signals that arrived before the account's first opportunity count.

The period

The default window is your pilot start → today on the pilot plan (so the report reads as the pilot scorecard) and Since <date> (current plan) on any other plan. The date inputs re-run everything over any window — the previous report stays on screen, dimmed, while the new one loads. An end date before the start date is rejected right there, and once you've picked custom dates, Reset to pilot period, Reset to current plan or Reset dates takes you back.

Observational, not causal

Hot accounts are also the accounts your team worked hardest. Lift shows how well the score concentrates outcomes, not that the score alone caused them — the report says this about itself, in the API and on the page.

The report only sees what's logged in Diurno HQ: log calls, meetings, and opportunities as you work and the proof fills in on its own.