Outcom.AIEvery number,
as a story over time.
A value on a dashboard tells you where things stand. Analytics tells you the trajectory: since when, versus what, and why. Chart-first deep-dives on any account, roll-ups across the whole book, and AI insights that narrate facts computed deterministically, never invented. Analytics is how you audit what the Success Agent™ saw.
A grammar for turning any metric into a trajectory.
Start with an account. Drill anywhere.
Every trend is Subject × Metric × Time. The account is always the root; drill into an opportunity, a product or a user, pick any metric, and read its trajectory. The same definition renders any entity in the platform, with no bespoke report to build.
- Subject picker: account, then opportunity / product / user.
- Any metric: health, consumption, adoption, engagement, forecast.
- The account carries scores; the drills carry signals.
Versus what, and how fast.
Overlay time on itself (MoM, QoQ, YoY) or a peer group, indexed to 100 for a fair read. Layer in a moving average, a trendline, a ±2σ anomaly band, a growth rate, a target line. The chart stops showing a number and starts making an argument.
- Temporal compare (MoM / QoQ / YoY) and peer overlay.
- Index-to-100 so different scales compare honestly.
- Moving average, trendline, ±2σ band, growth rate, target.
Zoom out to the executive view.
Portfolio KPIs (GRR, NRR, attainment, logo retention) read the whole book at once. Treemaps and roll-ups break at-risk ARR down by industry, segment or owner, and every tile drills straight back to the accounts behind it.
- A curated KPI headline catalog for exec-ready views.
- At-risk ARR by industry, segment or owner, click to drill.
- The book, its trend, and its outliers, in one screen.
Facts computed. Only the story is written.
Every trend reads point-in-time snapshots that carry their own completeness, staleness and confidence, so a gap shows as a gap, not a confident zero. The numbers are computed deterministically; the model is only handed facts to explain, never asked to produce the figure itself.
- One honest substrate: point-in-time truth per entity, per day.
- Insights read the latest finding per agent across a filtered book.
- Every figure on the page was computed, not generated.