For RevOps

A forecast methodology you can audit, defend, and back-test.

RevOps owns the forecast process — but most forecast processes live in people's heads, not in a model you can inspect. QuotaVyn gives you the infrastructure to make that process quantitative, auditable, and systematically improvable every quarter. Every score has a source. Every miss has an explanation.

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Forecast Accuracy — Last 4 Quarters
Q3
−34%
Q4
−22%
Q1
−12%
Q2
−9%
Trend
Variance improving −25 pts since Q3
CRM Hygiene

QuotaVyn makes reps want to keep their CRM activity current

When activity data is what drives the deal score — not stage name, not rep commit — reps have a direct self-interest in keeping their Salesforce activity logs and email engagement current. No more weekly hygiene campaigns. QuotaVyn does not replace your CRM; it gives reps a reason to care about the data quality in it.

Score rewards activity data
Reps with complete activity logs score higher. Reps who game their stage fields but don't log calls get flagged — the score doesn't lie about their actual engagement.
Rep activity leaderboard
See which reps are running activity patterns closest to the closed-won cohort and which reps are consistently diverging. Identify coaching priority in 2 minutes.
Multi-source activity reconciliation
Salesforce, Gmail, Gong — QuotaVyn reconciles activity across sources so CRM gaps don't cause false score drops. Clean signal, not just CRM hygiene dependency.
The RevOps Toolkit

Everything RevOps needs to own the forecast process

Custom scoring weights (Scale tier)
Override default signal weights to match your sales motion. High-velocity inside sales teams weight call frequency differently than enterprise field sales.
Historical back-testing
Run QuotaVyn's scoring model against 2 years of historical deals. See what your forecast accuracy would have been had you had these scores. Proves ROI before day 30.
API access (Scale tier)
Pull deal scores and forecast data into your BI stack (Looker, Mode, Metabase). Build custom RevOps dashboards without CSV exports.
Reporting

Forecast accuracy as a trackable metric

For the first time, your forecast methodology has a score — and that score improves as your cohort grows and your team aligns to winning behavior patterns.

45 days
Average time to first actionable forecast improvement
4
Average quarters to reach <10% forecast variance
+19%
Average CRM activity log completeness after 1 quarter

Make the forecast process defensible by design.

30-minute demo with RevOps focus. We show you the accuracy tracking, back-testing view, and rep activity benchmarking.

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