Sales dashboards
Know which deals will close and which need you now
Pipeline sits in the CRM, activity in Outreach and deal risk in Gong. RapidDashboard joins them in a private data store and gives VPs of sales and sales managers a daily picture of the forecast in one plain-English question.
Live examples
One question, one full dashboard
Pick a question. RapidDashboard answers with KPIs, charts, the records behind them and an AI summary of what to do next. Hover any chart for values or open its table view.
Show Q4 pipeline coverage by stage. Do we have enough to hit the $4.8M quota, and which deals need requalifying?
Q4 pipeline & forecast
Closed won QTD
$0.3M
6% of $4.8M Q4 quota
Open pipeline
$13.2M
2.9× coverage of remaining quota
Commit
$2.9M
+$0.4M vs last week
Past original close date
$5.0M
38% of open pipeline
| Step | Change |
|---|---|
| Closed won | $0.3M |
| Commit | +$2.9M |
| Best case | +$1.8M |
| Ceiling | $5.0M |
- On schedule
- Past original close date
| On schedule | Past original close date | |
|---|---|---|
| Discovery | $3.0M | $0.8M |
| Qualified | $2.4M | $1.0M |
| Solution | $1.3M | $1.1M |
| Proposal | $0.9M | $1.2M |
| Negotiation | $0.6M | $0.9M |
| Deal | Owner | Stage | Amount | Close date pushes | Status |
|---|---|---|---|---|---|
| Halberd Logistics | O. Patel | Proposal | $340K | 4 | No stage change |
| Sterling Dental Group | S. Whitaker | Solution | $290K | 3 | No stage change |
| Ridgeview County | G. Holloway | Qualified | $190K | 3 | No next step |
| Ashford Biotech | M. Okafor | Negotiation | $160K | 2 | In legal review |
| Northpoint Credit Union | D. Reyes | Negotiation | $130K | 2 | In legal review |
What changed and what to do
- Warning: 38% of open pipeline, $5.0M, is past its original close date. Coverage reads 2.9× on paper and closer to 1.8× on deals still on schedule.
- Good: Closed won plus commit totals $3.2M, two-thirds of quota with almost 13 weeks to go.
- Critical: Three deals worth $820K have been pushed three or more times with no stage change. They are the first to requalify.
AI summary
Copperline has $0.3M closed and $2.9M in commit against a $4.8M Q4 quota, with $1.8M of best case bringing the ceiling to $5.0M. Open pipeline of $13.2M covers the remaining quota 2.9 times, though $5.0M of it is already past its original close date. Recommend requalifying the 14 stale deals this week, starting with Halberd Logistics, Sterling Dental Group and Ridgeview County, so Monday's forecast reflects current close dates.
Ask next
- What does coverage look like without stale deals?
- Commit by rep
- Which best-case deals could move to commit?
What is our win rate by customer segment over the last 12 months, and where do enterprise deals stall?
Win rate analysis
Win rate
34%
+3 pts vs prior 12 months
Mid-market
48%
+4 pts 72 of 150 won
Enterprise
19%
+1 pt 16 of 84 won
Mid-market under $50K
54%
+5 pts win rate
- Qualified 84
- Solution validated 58 69%
- Proposal 41 71%
- Legal & procurement 33 80%
- Closed won 16 48%
What changed and what to do
- Warning: Enterprise deals lose 17 of 33 opportunities at the legal and procurement stage, the biggest late-stage drop in the funnel.
- Good: Mid-market wins 48% of deals and 54% of those under $50K, the most predictable segment by volume.
- Info: Enterprise sales cycles run about 7 months, more than twice the company average of 94 days.
AI summary
Win rate improved 3 points to 34% over the last 12 months. Mid-market is the strongest segment at 48%, while Enterprise sits at 19%, and more than half of the enterprise deals that reach legal and procurement are lost there. That loss pattern points to contract friction at the end of the cycle. Recommend a joint review with legal to standardize enterprise terms and a security questionnaire pack ready at proposal stage.
Ask next
- Which clauses stall enterprise deals?
- Win rate by competitor
- Show win rate by lead source
Show rep activity and quota attainment. Which reps are below the activity target, and whose pipeline has gone quiet?
Rep activity & attainment
Team activity
12.4
+0.6 touches per rep per day
Reps under target
3
-1 under 8 touches a day
Silent deals
11
$690K no touch in 30+ days
Q3 quota attainment
92%
+4 pts vs Q2
| Item | Touches per day | Q3 attainment |
|---|---|---|
| Maya Okafor | 21 | 121% |
| Daniel Reyes | 17 | 108% |
| Priya Natarajan | 15 | 101% |
| Tom Brennan | 14 | 98% |
| Lucia Ferreira | 14 | 94% |
| Ethan Clarke | 11 | 89% |
| Grace Holloway | 8 | 79% |
| Sam Whitaker | 7 | 75% |
| Owen Patel | 5 | 63% |
92%
$4.14M of $4.5M · target 100%
| Rep | Touches / day | Open pipeline | Silent 30+ days | Q3 attainment | Status |
|---|---|---|---|---|---|
| Maya Okafor | 21 | $1.9M | 0 | Top performer | |
| Priya Natarajan | 15 | $1.5M | 0 | On track | |
| Ethan Clarke | 11 | $1.2M | 1 | Coach on closing | |
| Grace Holloway | 7.5 | $1.1M | 2 | Below activity target | |
| Sam Whitaker | 7 | $0.9M | 2 | Below activity target | |
| Owen Patel | 5 | $1.3M | 6 | $420K silent |
What changed and what to do
- Critical: Owen Patel has 6 open deals worth $420K with no activity in more than 30 days, the largest silent pipeline on the team.
- Warning: Three reps average under 8 touches a day, and all three finished Q3 below 80% of quota.
- Good: Maya Okafor leads the team at 21 touches a day, 121% of quota and a 41% opportunity win rate.
AI summary
The team averaged 12.4 touches per rep per day and finished Q3 at 92% of quota, up 4 points on Q2. Activity and attainment track closely: the three reps under 8 touches a day are also the three lowest on quota. Recommend a deal coaching session with Owen Patel this week with an outreach plan for his six silent deals, and pairing Grace Holloway and Sam Whitaker with Maya Okafor for call reviews.
Ask next
- Which silent deals are largest?
- Activity mix by rep: calls, emails, meetings
- Show ramp for reps hired this year
Which deals have slipped their close date more than twice, and what is the total value at risk of moving to next quarter?
Slipped deals
Slipped 2+ times
9 deals
$1.4M value at risk
Avg slip per push
38 days
+6 days vs Q2
No stage change
3 deals
$820K pushed 3+ times
In legal review
4 deals
$480K clear next step
- No stage change$820K59%
- Legal review$480K34%
- Budget re-approval$100K7%
| Segment | Value | Share |
|---|---|---|
| No stage change | $820K | 59% |
| Legal review | $480K | 34% |
| Budget re-approval | $100K | 7% |
| Deal | Owner | Amount | Pushes | Next step | Status |
|---|---|---|---|---|---|
| Halberd Logistics | O. Patel | $340K | 4 | None logged | Exec outreach |
| Sterling Dental Group | S. Whitaker | $290K | 3 | Pricing call, unscheduled | Exec outreach |
| Ridgeview County | G. Holloway | $190K | 3 | None logged | Move to Q1 |
| Ashford Biotech | M. Okafor | $160K | 2 | Redlines due Oct 9 | Legal review |
| Willow Creek Schools | E. Clarke | $60K | 2 | Board vote Oct 21 | Budget re-approval |
What changed and what to do
- Critical: Halberd Logistics, Sterling Dental Group and Ridgeview County, worth $820K together, have each moved three or more times with no stage change.
- Info: Four slipped deals worth $480K are in active legal review with dated next steps, so their delay has a clear cause.
- Warning: Average slip per push has grown to 38 days, which moves most second pushes into the following month.
AI summary
Nine open deals worth $1.4M have slipped their close date at least twice. Three of them, $820K in total, show no stage movement and no logged next step, which makes them the highest forecast risk. The four deals in legal review are delayed for a known reason and are likely to close. Recommend executive outreach on Halberd Logistics and Sterling Dental Group this week and moving Ridgeview County to Q1 so the Q4 forecast stays clean.
Ask next
- Which reps push close dates most often?
- Show slipped deals by stage
- What closed after two pushes last year?
How accurate was our Q3 forecast, how did each team finish against quota, and where do deals spend the most time?
Forecast accuracy & sales velocity
Sales velocity
$42.9K
+7% revenue per day
Avg sales cycle
94 days
-5 days vs Q2
Avg deal size
$38K
+$2K closed won
Forecast accuracy
90%
+6 pts week 1 commit vs actual
- Closed won
- Commit call
- Q3 quota $4.5M
| Closed won | Commit call | |
|---|---|---|
| W28 | $0.2M | $4.6M |
| W29 | $0.5M | $4.6M |
| W30 | $0.8M | $4.5M |
| W31 | $1.1M | $4.5M |
| W32 | $1.4M | $4.4M |
| W33 | $1.7M | $4.4M |
| W34 | $2.0M | $4.3M |
| W35 | $2.4M | $4.3M |
| W36 | $2.7M | $4.3M |
| W37 | $3.1M | $4.2M |
| W38 | $3.6M | $4.2M |
| W39 | $4.1M | $4.2M |
- Channel$0.30M / $0.30M
- Mid-market$1.68M / $1.70M
- SMB$1.24M / $1.30M
- Enterprise$0.92M / $1.20M
What changed and what to do
- Good: Q3 closed at $4.14M against a week 1 commit of $4.6M, a forecast accuracy of 90% and the best quarter this year.
- Critical: Enterprise finished at 77% of quota. Enterprise deals spend a median 93 days in legal and procurement, nearly half of a 210-day cycle.
- Info: Sales velocity rose 7% to $42.9K a day, from 312 open opportunities at a $38K average deal size and a 34% win rate.
AI summary
Q3 ended at $4.14M, 92% of the $4.5M quota, and the week 1 commit call landed within 10% of the result. Channel and Mid-market reached quota, while Enterprise finished at 77%, held back by long legal and procurement stages. Sales velocity improved to $42.9K a day as cycles shortened by 5 days. Recommend a standard enterprise contract package and an earlier legal kickoff at proposal stage to shorten the slowest step.
Ask next
- Forecast accuracy by rep
- What would a 30-day shorter enterprise cycle add?
- Show velocity by lead source
Sample data for a fictional company. Your dashboards run on your own connected systems.
Sound familiar?
Where the numbers live today
Forecast calls run on judgment
Each rep calls their number, and the manager adjusts it from experience before it goes up the line.
CRM reports need upkeep
Win rate by segment is in Salesforce, and the report needs rebuilding whenever a picklist value changes.
Activity gaps surface in deal review
The last touch on a deal shows up in the weekly review, sometimes 45 days after it happened.
Close dates move quietly
A deal can be pushed four times in the CRM before the forecast reflects that it belongs in next quarter.
Metrics glossary
The metrics behind these dashboards
How each number is defined, so everyone reads it the same way.
- Pipeline coverage
-
Open pipeline as a multiple of the quota still to be closed. 3× is a widely cited rule of thumb for B2B sales.
FormulaOpen pipeline ÷ (Quota − Closed won)
- Win rate
-
The share of closed opportunities that were won, usually measured over a rolling period.
FormulaClosed won deals ÷ (Closed won + Closed lost deals)
- Sales cycle length
-
The average number of days from opportunity creation to closed won.
FormulaSum of days to close for won deals ÷ Number of won deals
- Quota attainment
-
Closed revenue as a share of the quota for a rep, team or period.
FormulaClosed won revenue ÷ Quota
- Stage conversion rate
-
The share of opportunities that advance from one pipeline stage to the next.
FormulaOpportunities entering next stage ÷ Opportunities in current stage
- Sales velocity
-
How much revenue the pipeline produces per day, combining volume, deal size, win rate and cycle length.
Formula(Open opportunities × Average deal size × Win rate) ÷ Sales cycle length in days
Connections
How your systems connect
Supported APIs and exports sync into a private RapidDashboard store you approve. Dashboards read from that store, so source systems keep their normal load.
Salesforce / HubSpot
PullsOpportunities, stages, close date history, win and loss reasons, owners
Official REST APIs on a scheduled, audited sync into your private data store.
Outreach / Salesloft
PullsCalls, emails, meetings, sequence replies by rep
Vendor-supported APIs with activity mapped to deal and rep records.
Gong
PullsCall topics, deal risk signals, competitor mentions
API integration that surfaces conversation signals at the deal level.
What you can build
Dashboards and reports teams build next
Forecast & pipeline
- Coverage by stage
- Commit vs best case
- Slipped deal alerts
Win rate analysis
- Win rate by segment and size
- Stage conversion
- Loss reasons
Rep performance
- Activity vs target
- Quota attainment
- Silent pipeline by rep
Sales reports
- Weekly pipeline review
- Monthly forecast narrative
- Quarterly business review prep
Your pipeline stays private
Deal data, pricing and competitive notes are among the most sensitive records a sales team holds. RapidDashboard keeps them in a private data store with role-based access, so reps see their own deals, managers see their teams and leadership sees the full picture. AI features are optional and run on enterprise endpoints whose terms prohibit training on your data.
FAQ
Sales dashboards: common questions
What should a sales dashboard show?
Most sales leaders track pipeline coverage, commit vs quota, win rate by segment, sales cycle length, rep activity and deals that have slipped. A forecast view and a rep scorecard cover most weekly meetings. RapidDashboard builds each from a plain-English question against your CRM and engagement data.
How do you calculate win rate?
Win rate is closed won deals divided by all closed deals, won plus lost, over a period. Open deals are left out because their outcome is unknown. Measuring it by segment and deal size shows where the team wins most reliably.
How is sales velocity calculated?
Sales velocity equals open opportunities multiplied by average deal size and win rate, divided by the sales cycle length in days. For example, 312 opportunities at $38K with a 34% win rate and a 94-day cycle produce about $42.9K of revenue per day. Improving any of the four inputs raises velocity.
Can RapidDashboard connect to Salesforce, HubSpot, Outreach and Gong?
Yes. Each connects through its official API and syncs on a schedule into one private data store. That lets one dashboard combine pipeline, rep activity and conversation signals for the same deal.
Can reps see only their own deals?
Yes. Access is role-based, so reps see their own pipeline, managers see their team and leadership sees the company view. Every sync and dashboard view is logged.
Keep exploring
Related example dashboards
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