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Every Account. One Live Score. — Quivly turns your CRM, product, support, billing, and market signals into a single weighted score per account — recomputed every minute and explained in plain English. No more guessing which renewals are at risk.

Scoring that fits your business — not a vendor’s.: Drag the score-range bands. Pick the categories that matter to you. Choose the exact metrics in each data source that should feed the model. No black box — every input is yours to control.

Every score, explained in plain English.: Quivly doesn’t just compute a number — it tells your team what’s driving it. Risk and growth signals are generated as natural-language narratives, with every claim cited back to the underlying data source.

Drill into any account in seconds.: When a score moves, every team member can see the full story: history, what changed, why it changed, and what to do next — with actions ready to send.

Connect your stack and watch real-time health scores compute against every account in your book. Most teams see their first signals within a few hours.

Health Score

Every Account.One Live Score.

Quivly turns your CRM, product, support, billing, and market signals into a single weighted score per account — recomputed every minute and explained in plain English. No more guessing which renewals are at risk.

Modal
Modal
Live · scoring
ON
Revenue· 33%
35
Support· 25%
68
Market Signals· 17%
50
Product Usage· 16%
98
Engagement· 10%
55
Composite health score
0
Grow
0255075100
Recalculated 12s ago · 5 sources

Trusted by teams at

Eragon
Uplex
Union AI
Hyperspell
Atlas
Brief
Siftly
Mycroft
AgentPress
Eragon
Uplex
Union AI
Hyperspell
Atlas
Brief
Siftly
Mycroft
AgentPress

Configure

Scoring that fits your business — not a vendor’s.

Drag the score-range bands. Pick the categories that matter to you. Choose the exact metrics in each data source that should feed the model. No black box — every input is yours to control.

  • Drag-to-tune score bands

    Set the cutoffs for Rescue, Protect, Sustain, and Grow to match the way your team actually triages accounts — not a generic vendor playbook.

  • Weighted categories

    Tell the model how much Engagement, Product Usage, Support, Revenue, and Market Signals each matter for your business. Adjust over time as you learn.

  • Per-source, per-metric control

    Toggle individual data sources on or off. Choose precisely which metrics from BigQuery, Salesforce, Slack, Gong, or Stripe contribute to scoring.

  • Versioned & reversible

    Every config change is versioned. Test new weights against historical data before flipping the switch — no surprises in your Monday review.

Score Ranges
Drag the boundaries to adjust how scores map to health categories.
Rescue
0–25
Protect
25–50
Sustain
50–75
Grow
75–100
0255075100
Categories & Data Sources
Engagement
50%
Slack
Slack
Fathom
Fathom
Product Usage
40%
Bigquery
Quivly BQ Connection
4 metrics
Select which metrics to include in scoring.
V1 Executions
V1 Executions Percent Change
V2 Executions
V2 Executions Percent Change
Bigquery
CS Data Warehouse
2 metrics
Select which metrics to include in scoring.
Node Hours
Node Hours Percent Change

AI explanations

Every score, explained in plain English.

Quivly doesn’t just compute a number — it tells your team what’s driving it. Risk and growth signals are generated as natural-language narratives, with every claim cited back to the underlying data source.

  • Narratives, not dashboards

    Risk and growth signals expressed as paragraphs your CSMs and AEs can paste straight into a renewal call brief — no chart-reading required.

  • Source-cited claims

    Every signal links inline to its source — BigQuery, web research, CRM, support — so your team can double-click on any claim before acting on it.

  • Regenerate on demand

    New data come in? One click recomputes the narrative against the latest signals — useful right before any customer-facing meeting.

  • Trustworthy by design

    No hallucinated metrics. Quivly only summarizes data it can point to in your connected systems — and flags low-confidence signals explicitly.

Scoring Intelligence
AI-generated signals based on Quivly AI and your connected tools.
Risk Signals
declining query frequency in Bigquery over a 14-day rolling window suggests the customer has stopped pulling AI-generated insights into their workflows; a spike in Bigquery error rates or failed jobs may indicate broken data pipelines that have gone unaddressed by the customer’s technical team; Web Research activity dropping to near-zero over a 30-day period suggests the customer’s team is no longer actively exploring or expanding their use cases within the platform; a sudden drop in Bigquery data volume processed combined with no new table or dataset creation signals the customer may have paused onboarding or halted new project development; absence of any Bigquery scheduled queries or recurring jobs indicates the customer has not yet automated workflows, suggesting shallow adoption and high churn risk
Growth Signals
a steady increase in Bigquery datasets and tables created month-over-month indicates the customer is expanding their data infrastructure and deepening their reliance on Quivly AI; growing Bigquery query volume across multiple distinct user accounts suggests organic adoption beyond the initial champion into broader team usage; consistent and increasing Web Research activity points to a customer actively exploring new AI use cases and expanding their platform footprint; new Bigquery scheduled queries or automated jobs being created signals the customer is moving from manual exploration to production-grade automation; a pattern of Bigquery jobs running across multiple time zones or off-hours suggests the customer has embedded Quivly AI into critical business operations, indicating strong stickiness and expansion potential

Deep dive

Drill into any account in seconds.

When a score moves, every team member can see the full story: history, what changed, why it changed, and what to do next — with actions ready to send.

Modalapp.quivly.ai/accounts/modal/health
0
MediumCalculated on 4/14/2026
-7 pts (-10.9%)
0255075100
History
4654627077515162646572666457Oct 22Dec 27Mar 02Apr 14
Quivly's Analysis
Modal

Modal's health score of 57/100 is driven by a critical tension between explosive product adoption and severe financial/engagement risk. Product usage is near-perfect (98/100) with Deployments up 1,088%, Active Users up 1,076%, and API Requests up 1,049%, signaling deep platform dependency — yet an outstanding balance of $4,493.66 exceeds their MRR of $4,160.80 with renewal due in 0 days, creating an immediate collection crisis. Simultaneously, all engagement channels have gone dark (0 Slack conversations, 0 calls in 30 days, last call 32 days ago), making it impossible to address the billing issue through normal touchpoints.

Revenue
33%
35
+11.6
Support
25%
68
+17.0
Market Signals
17%
50
+8.5
Product Usage
16%
98
+14.7
Engagement
10%
55
+5.5
Total
0
✓ Recommended Actions
1

Escalate billing immediately via direct email and phone to resolve the $4,493.66 outstanding balance before or on the renewal date (0 days), as all Slack and call channels are currently dark.

2

Leverage the exceptional product usage growth (1,088% deployment increase) as a business case anchor in renewal conversations to justify continued investment and negotiate payment terms if needed.

3

Re-establish engagement by reaching out through an executive sponsor or alternative contact, given 32 days of silence across both Slack and calls — reference their usage growth to make the outreach value-driven.

4

Resolve the 3 stagnant open support tickets to remove any potential friction points that could be silently contributing to disengagement or payment hesitation.

FAQ

Frequently asked questions

See every account clearly

Stop guessing which renewals are at risk.

Connect your stack and watch real-time health scores compute against every account in your book. Most teams see their first signals within a few hours.