Forecasting Isn’t Broken. It’s Blind.

Every team’s tried revenue dashboards, CRM plug-ins, and forecasting workflows.
But none of them catch what actually causes deals to slip.

If you lead SalesOps, RevOps, or a revenue team, you already know this isn’t about tooling.
It’s about visibility — and what’s hiding in plain sight.

Behind every slipped commit or phantom forecast is a messy tangle of disconnected signals, undocumented approvals, and systems that don’t talk to each other.

The Forecast Disconnect

Here’s what executive teams think they’re seeing:

• Updated Salesforce forecasts
• CPQ-backed quote data
• Weekly pulse checks from RevOps
• Rollups from managers
• Forecast accuracy dashboards

But here’s where the real signals live:

• Approval threads buried in Gmail
• Delay warnings in Slack
• Red flags in Gainsight
• Deal nuances buried in Notion
• Forecasts that don’t match actual quotes

These things don’t show up in dashboards — until it’s too late.
And when they do, it’s not a system failure. It’s forecast fog:
That slow, invisible drift where confidence collapses and nobody knows why.

📊 The Risk Is Systemic — and Quantifiable

• 93% of sales leaders say they can’t forecast within 5% accuracy even with two weeks left in the quarter
  → Argano: 6 Shocking Forecasting Stats

• Over 50% of revenue leaders miss their forecast multiple times a year
  → Xactly: 2024 Forecast Benchmark Report

• SaaS companies lose 9% of MRR to untracked revenue leakage — from compliance gaps, misaligned processes, and system drift
  → Cognisaas: Revenue Leakage in Enterprise SaaS

• That’s 1–5% of EBITA, quietly lost every year
  → DigitalRoute: Recurring Revenue Statistics

“Revenue leakage is more expensive than burning cash in your parking lot.”
— Todd Gardner on LinkedIn

These are not outliers. They are industry norms.

What DeepQuery Found

At a mid-size SaaS company, we reviewed a typical forecast week.

Here’s what we uncovered — and how DeepQuery flipped it:

Before DeepQuery

• [x] Manual Gmail searches for discount approvals
• [x] CPQ quote vs forecast mismatches tracked in Excel
• [x] Commit opps with no activity flagged manually
• [x] Red CSAT deals hidden in a Google Sheet
• [x] Slack messages never logged in CRM

With DeepQuery

• [✓] “Show unapproved discounts over 20%”
• [✓] “Where forecast > quote by 20%+”
• [✓] “Show Commit opps with no activity in 14+ days”
• [✓] “Show opps with red CSAT not flagged in SFDC”
• [✓] “Which Commit deals mention delay in Slack?”

⚡ Want to run this check on your pipeline?

👉 Learn more — no audit required.

These were all blind spots — in Salesforce, in spreadsheets, in dashboards.
But they were all there in the tools. Just invisible. Until DeepQuery joined the dots.

Why Existing Tools Can’t Catch This

CRM is a system of record.
CPQ is a system of pricing.
CSAT tools give customer signals.
Slack and Gmail capture conversations.

But none of them are systems of execution.

• A discount gets approved over email — but never logged in SFDC
• A quote is 30% lower than forecast — but no one notices
• A rep drops “might push this” in Slack — but still marks the deal Commit
• Gainsight shows a red CSAT — but finance sees full pipeline value

Current tools can only tell you what someone remembered to input.
They can’t interrogate what’s missing.

🔍 This Is Not About More Reports

This Is About Execution Context

RevOps doesn’t need more dashboards.

RevOps needs:

• The ability to ask operational questions across tools
• Risk surfaced before it’s too late
• One place to triage deals, compliance gaps, and forecast reliability
• Answers in English, not VLOOKUPs

You shouldn’t need 6 tools, 7 browser tabs, and 3 hours to figure out why your $900K deal quietly vanished.

DeepQuery: Automate the Friday Audit

With DeepQuery, RevOps teams can automate what they’ve been doing manually for years.

You can ask:

“Show me all Q2 Commit deals where:

• There’s been no activity in 2 weeks
• The discount is over 20% but not approved
• The quote is less than the forecast
• Slack mentions a delay
• CSAT is flagged red in Gainsight”

And DeepQuery answers — live — across Salesforce, Gmail, Slack, CPQ, Notion, and Gainsight.

You Already Bought the Stack.

Now Make It Work Together.

You’ve already invested in Salesforce.
You’ve already got CPQ, Notion, Gainsight, and Slack.

DeepQuery is the layer that makes these tools talk to each other.
It lets RevOps teams execute, not just observe.

🎯 The Future of RevOps Is Cross-System Execution

We’re not claiming DeepQuery replaces your RevOps stack.
It orchestrates it.

You don’t need AI that summarizes dashboards.
You need AI that understands the real task:

• Find the mismatch
• Validate the approval
• Flag the ghost deal
• Stop revenue leakage before the CFO sees it

DeepQuery doesn’t replace Salesforce.
It unlocks the intelligence Salesforce never had.

Try It For Yourself

We’ve tried every GenAI chatbot out there, and here’s the truth:

None of them could handle our daily work.
Because daily work isn’t one-step answers — it’s a messy web of tasks, lookups, and decision points.

Tiyaro DeepQuery lets you automate those business processes — using plain English.

👉 Try it for free
Describe a task you do every Friday.
DeepQuery will assemble the logic to do it — and let you run it with a click.

Let’s go from “forecast fog” to “forecast clarity.”
Let’s run your Friday audit — together.

Up Next

Automating the RevOps Runbook Audit

In the next post, we walk through the exact cross-system forecast audit your RevOps team already does — and how DeepQuery automates it.

Read Part 2 here.