Free RevOps Reports & Dashboard Cheat Sheets
This cheat sheet covers 30 reports & dashboards across 5 dimensions:
- Data capture
- Assessing deal health
- Assessing pipeline health
- Assessing team performance
- Assessing strategic initiatives
"With Weflow, we’re now capturing all relevant activities and have full transparency into the performance of each sales rep. It’s a game changer."

"Weflow gives us better visibility and predictability of our business."

"Weflow eliminated the need for our VP to ask, ‘Did you follow up with that deal?’. It tracks customer interactions automatically, creating a framework that drives accountability across the team."


"None of the other tools gave us a solution like Weflow. From the beginning, we had a really smooth process."
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"I had a first introductory call with Weflow. I think I was sold after 15 minutes. There’s no question that the people at Weflow understood the problems that we were trying to solve."

"I’ve worked with Gong before, but Weflow’s simplicity and real-time sync are game-changing."
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"We use Weflow to auto-capture activity data, run deal reviews, and analyze our pipeline to inform our forecast. Being able to spot deal risks early has improved win rates and pipeline health."

What's Inside
Automating CRM data capture
- Auto-capturing emails, meetings, and contacts from Google Workspace or Microsoft 365 and mapping them to the right opportunities
- Recording, transcribing, and summarizing sales calls so meeting notes sync back to Salesforce without rep effort
- Syncing MEDDIC or SPICED fields with AI and enforcing stage exit criteria on amount, close date, products, and forecast category
Inspecting deals and pipeline
- Deal health checks covering next steps, activity velocity, multi-threading, access to power, communication review, and methodology completeness
- Pipeline coverage views including pacing, waterfall, stage conversion, opps created, cycle length, velocity, win rate, and forecast vs. actuals
- Risk dashboards surfacing at-risk opps, slipped or pulled-in deals, declining engagement, and conversion leakage by territory, segment, and industry
Coaching reps and reading GTM signals
- Conversation quality metrics including talk ratio, longest monologue, longest customer story, interactivity score, patience, and question rate
- Productivity signals covering meeting, email, and call volume, meeting duration, time in meetings, response time, and reply rate
- Topic trackers for competitor mentions, objection handling, next steps, value prop usage, new product launches, and churn risk language

Daniel Schemmert
Daniel Schemmert is the Head of Growth at Weflow, where he's built the GTM engine from scratch. He spends valuable time talking to RevOps leaders about how they run pipeline, forecasting, and Salesforce. He's also the co-founder of RevOps Chat, the Slack community where 1,000+ RevOps practitioners share what's actually working inside their revenue orgs.
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Frequently asked questions
What's the difference between assessing deal health and assessing pipeline health, and why does the cheat sheet treat them separately?
Deal health is about inspecting individual opportunities — next steps, multi-threading, access to power, methodology completion. Pipeline health is about aggregate patterns — coverage ratios, stage conversion rates, pipeline velocity, win rates. You need both views, but they answer different questions: one tells you whether a specific deal is real, the other tells you whether your funnel is structurally sound.
Do I need Salesforce to use this cheat sheet, or does it work with other CRMs?
The cheat sheet is built around Salesforce as the system of record — references to activity capture, MEDDIC field sync, and forecast categories all assume Salesforce as the destination. The underlying logic applies to any CRM, but the specific automation examples (like auto-syncing meeting summaries or stage exit criteria fields) are Salesforce-native in how they're described.
Which of these reports and dashboards should I build first if I'm starting from scratch?
Start with the four core CRM fields — stage, amount, close date, and forecast category — because every other report in this cheat sheet depends on that data being accurate and consistently populated. Once those fields are clean, pipeline coverage and forecast vs. actuals become meaningful; before that, they're just noise dressed up as insight.
What data do I need in place before the conversation intelligence metrics — talk ratio, question rate, patience — are actually useful?
You need a consistent volume of recorded and transcribed calls mapped to opportunities in Salesforce, ideally auto-synced rather than manually logged. A handful of calls per rep won't give you reliable signal; you're looking for enough volume per rep per period to distinguish a pattern from a one-off bad call.
How do I know if my pipeline waterfall or stage conversion data is actually telling me something real versus reflecting bad CRM hygiene?
Check whether stage progression is being driven by reps manually updating fields or by stage exit criteria tied to actual deal activity. If reps are moving stages without completing required fields — close date, amount, methodology fields — your waterfall will show movement that doesn't reflect real deal progression, and your conversion rates will be misleading.
How often should I be reviewing the team performance metrics like email reply rate, meeting volume, and response time?
Weekly for activity volume and response time — these are leading indicators that shift fast and directly affect deal cycles. Talk ratio, question rate, and interactivity score are better reviewed monthly or tied to specific coaching cycles, since you need enough call data per rep to make the comparison meaningful rather than reactive.