How Salt works

The whole operating discipline, in one system.

Two things to set up once, five that make up the operating rhythm, and one that only pays off over time. You define the standard; Salt is what applies it consistently to every deal in scope.

Set up once

A day of configuration, not a quarter-long implementation.

1

Connect your pipeline

Bring deals in from your CRM or a CSV. Map owners, pipelines, stages, amounts, and close dates to what Salt expects.

  • Native bidirectional HubSpot connection
  • CSV import with a guided field mapper
  • Adapter-based architecture — request the CRM you use
2

Describe how your team sells

Salt evaluates deals against your process, not a generic playbook. Configure it once and every review inherits it.

  • Stage entry and exit criteria per pipeline
  • BANT, MEDDIC, MEDDPICC, Challenger, Sandler, or Value Selling
  • Forecast categories, quotas, teams, and reporting lines

The operating rhythm

Some of it you drive; some of it runs on its own. All of it comes back around.

Everything below repeats each cycle
3

Review every open deal

You launch it — before a forecast call, over a team you're worried about, or across the whole pipeline. Seven checks per deal, each returning a flag and a rationale. The output is a ranked agenda, not a dashboard.

  • Scope it to the org, a team, a seller, or a hand-picked set
  • Results ranked by severity and dollars exposed
  • Every run is stored, so you can compare one to the next
4

Let it escalate what deserves depth

This part runs on its own. Salt picks deals worth more than a first pass, refreshes their checks if the signal has gone stale, then runs a deeper review that reads the full record and writes a real report.

  • Deals surface on their own, without anyone queuing them
  • Stale checks are refreshed before anything is chosen
  • Reports land in the home feed with the deal's timeline
5

Read the evidence, not the summary

Every finding carries the note, meeting summary, or field change that produced it — with a source, a timestamp, and a confidence level.

  • Direct quotes from the underlying record
  • Timestamps that show what was written after which field was set
  • Confidence stated, so you know how hard to lean on it
6

Fix the record

When a field is wrong, Salt proposes the correction and a person approves it. Nothing writes back to your CRM on its own.

  • Proposed changes with the evidence attached
  • Human approval gate on every write-back
  • Field ownership rules decide which system wins
7

Capture the forecast

Sellers submit floor, call, and stretch. Managers adjust with buffers and scenarios. Leadership sees a rollup that traces back to named deals.

  • Per-seller, per-team, per-org submission each week
  • Scenario comparison before you commit a number
  • Full submission history, not just the current view

Over time

The part that compounds.

8

Score the call against what happened

Because every submission and every field change is kept, Salt can restate any past week and compare what your team said to what the model said to what actually closed.

  • Rebuild the pipeline as it stood in any past week
  • Win probability that learns from your own closed deals
  • Forecast accuracy tracked per seller and per team

Your process, enforced

A review is only useful if it judges deals by your standard.

Configure the qualification framework your team runs, the entry and exit criteria for each stage, and your forecast categories — per pipeline. Every review, every recommendation, and every gap report inherits that configuration instead of applying a generic playbook.

Pipeline configuration

Enterprise new business

Qualification framework MEDDPICC
Stage entry criteria Configured
Stage exit criteria Configured
Forecast categories Configured
BANTMEDDICMEDDPICCChallengerSandlerValue Selling

See it run

A review across a pipeline, start to finish.

Three deals, seven checks each, ranked by what needs attention. Select any deal to read its review, or expand a check to see what it looks at.

Pipeline Risk Review

5 problems found across 3 deals

$281K sits on deals with at least one problem. Select any deal to read its review.

Illustrative deals and findings — not customer data. Check names and verdict structure match the product’s real review output.

Review · Northstar Logistics

$184K · Contracting · Jun 28

Committed for the quarter, but nothing has moved the date it depends on.

Problem

Close date risk

Close date has moved twice in 41 days while the blocking security review still has no owner.

Evidence· high confidence

Security hasn’t assigned a reviewer yet. We’ll revisit timing after their planning meeting next month.

CRM note · A. Reyes · 3 days ago

Clear

Deal weight

Substantiated: multi-threaded, active in the last week, qualification mostly complete.

Watch

Qualification gaps

Paper Process is empty at Contracting stage; Economic Buyer is named but has no logged interaction.

Evidence· medium confidence

Legal review process not yet confirmed — asking champion who owns redlines on their side.

CRM note · A. Reyes · 12 days ago

Problem

Known risks

An external dependency the deal team does not control now gates the close.

Evidence· high confidence

Their security team is mid-reorg. Our champion says he can’t escalate until the new director starts.

Meeting summary · 9 days ago

Clear

Scope / amount validity

$184K matches the 240-seat, two-module scope described in the proposal thread.

Problem

Field divergence

Forecast category is Commit, but evidence logged after it was set describes an unscheduled dependency.

Evidence· high confidence

Realistically this lands next quarter unless security moves.

CRM note, written 6 days after category set to Commit · 3 days ago

Watch

Field freshness

Amount and stage last touched 34 days ago while 11 activities were logged.

Recommended action

Confirm a named security reviewer and a dated approval milestone before keeping Jun 28. If neither exists by Friday, move the date to the next quarter rather than carrying it in Commit.

Reference

The seven checks in full.

These run on every open deal in scope. Each returns one of three flags — clear, watch, or problem — plus a rationale, and evidence where the finding depends on something written down.

Tests the date on the record against how the deal is actually progressing, rather than accepting whatever was last typed in.

Forecast capture

Keep judgment in the forecast without letting it become guesswork.

Sellers submit a floor, a call, and a stretch each week. Managers apply buffers and compare scenarios before committing. Leadership sees a rollup that traces back to named deals — and, because every submission is kept, you can score what people said against what actually closed.

  • Per-seller, per-team, and per-org submissions on a weekly cadence
  • Scenario comparison before you commit a number upward
  • Quota attainment and coverage tracked against the same hierarchy
  • A full submission history, so accuracy becomes measurable per person

Q3 · week 7

Enterprise team rollup

6 of 6 submitted
Floor$1.84M
Call$2.47M
Stretch$3.12M

Vs last week

+$220K

Coverage

3.4×

Flagged

$418K

Illustrative values.

Forecast history

Every submission is kept, so the number has a past.

Each week’s floor, call, and stretch is stored alongside what actually closed. That is what makes it possible to see how a quarter converted — and, later, to score what your team said against what happened.

Closing four weeks of Q3

Enterprise team

  • Closed won
  • Floor
  • Call
  • Stretch
  • Pipeline

Illustrative data.

See it run on your own pipeline.

Start on the free tier with a CSV, or connect HubSpot and have a real review in front of your team this week.

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