Measure · Pipeline Forecasting

Forecast the number you can actually defend

Forecast from what's really happening inside every open deal (the calls, the emails, the meetings), not the stage a rep last touched. See what's on track, what's slipping, and why, so the number you commit holds up in the room.

This quarter · committed number

$4.8Mcommitted
$4.4M82% confidence$5.1M

31

On track

8

Slipping

4

At risk

Read from what's happening inside every open deal — not the stage a rep last updated.

1DEAL-LEVEL SIGNAL

Forecast from the deal, not the stage field

Stage is a rep's opinion entered on a Friday; it's not what the buyer actually did. Use Upside to score every open deal on the real signals (who's engaged, how the last few calls went, whether momentum is building or going quiet), so your forecast reflects what's happening in the deal instead of what got typed into the CRM.

One open deal · two readings

Northwind Platform

$180K

CRM stage

Commitrep-set Friday

Upside signal

At risk · 54
Champion quiet 14dNo economic buyerNext step slipped 2×

The stage said commit. The deal says otherwise.

2SLIP RISK

See which deals are actually slipping, early

By the time a deal slides a quarter, the warning signs were in the record weeks ago: a champion who went quiet, a stakeholder who never showed, a next step that keeps moving. Upside enables you to catch those signals across the whole book, so slipping deals surface while there's still time to act, not on the last day of the quarter.

Slip risk · flagged early

W1W2W3W4W5W6!champion went quietclose date

Flagged 41 days early, while the quarter was still winnable.

3BOTTOMS-UP ROLL-UP

Roll every rep's pipeline into one number you trust

A bottoms-up forecast is only as good as the deal data under it, and reps grade their own homework. Use Upside to roll each rep's deals up into a single forecast built on evidence, with the deal-level reasoning still visible underneath, so you can commit a number and show your work when leadership asks how you got there.

Bottoms-up · evidence-backed

Jordan M.
$1.2M
Priya S.
$980K
Diego R.
$1.4M
Sam O.
$640K
Committed forecast$4.2M

Every rep's number backed by deal signal, still drillable underneath.

4SCENARIO VIEW

Pressure-test the forecast before the board call

The riskiest moment is committing a number you can't defend. Build a miniapp on the Upside MCP to stress-test the forecast: pull the deals carrying the most risk, model best/likely/worst on real signal instead of gut feel, and walk into the review with the scenarios already run.

Scenario · before the board call

Worst case$2.9M
Likely$3.8M
Best case$4.6M
Number you commit$3.6M
Live example · built on Upside

See it in action

A working miniapp on representative data, embedded right here. Scroll it, click through it, then open the full example.

Open Deals Forecast · Sales
Explore the full example
Cresta
Cresta made Upside the engine of every Quarterly Business Review, turning messy enterprise deal cycles into a picture leadership could actually trust.
Real life is messy. Enterprise cycles are messy. Upside accurately reflects that messy reality, which I think is rare and was impossible before.
Stephen Daniels, VP, GTM & Strategic Operations · Cresta
Read the Cresta story

What you get when the forecast runs on evidence

What Upside unlocks

A number you can defend line by line

Every deal in the forecast is backed by what actually happened in it, so when leadership asks why a deal is committed, the evidence is already attached.

Slippage you catch, not slippage you explain

At-risk deals surface weeks earlier, from real signal instead of a stalled stage, so you're intervening while the quarter is still winnable.

One forecast instead of six spreadsheets

Each rep's pipeline rolls up on the same evidence-based logic, with deal-level reasoning still drillable underneath when you need to inspect a call.

What used to take 2-3 hours I can now do in a few clicks, and it's made me a smarter operations person than I've ever been in my career.
Charlie Flanagan, Head of GTM Ops · Dscout
Head of Demand Generation · Assembled
Lindsey Marymont

Things that used to take me hours to pull, I'm getting them in Upside in minutes. With a quick MCP search, I'm uncovering issues I didn't even know existed.

Related use cases

Deal Execution & Coaching

Once you can see which deals are slipping, turn each one into a runbook with the next best move to keep it on track.

Cresta
Win-Loss Intelligence

Feed the forecast with the real reasons deals close, reconstructed from the calls and emails instead of a picklist.

Revenue Attribution

Tie the pipeline you're forecasting back to the channels and touches that created it, on one clean foundation.

Pipeline Generation

Keep the forecast fed by pointing demand at the accounts already showing real buying intent.

Frequently asked questions

How is this different from our CRM's forecast?

The CRM forecast trusts the stage a rep last set. Upside scores each deal on what actually happened in it (the calls, emails, and meetings), so slipping deals surface early and the committed number is backed by evidence you can show.

Do we have to change how reps log deals?

No. Upside reads the conversation record you already capture, so it works with the messy, incomplete CRM data you have today. Reps keep working the way they do; the forecast just stops depending on a field being perfect.

Commit a forecast you can defend

See your open pipeline scored on real deal signal in a 30-minute walkthrough.

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