CRM Sandbox
SignalPath's CRM, showing the four reps you manage and every deal, contact and logged call behind them. Each number is counted from the same records, so the pipeline board, the scorecards and the forecast always reconcile with one another.
Your brief Nine days ago you were carrying a bag on this team. Today you manage it, and your VP wants a forecast and a coaching plan on Thursday. Open the brief
SignalPath sells marketing attribution software to other businesses: the kind of platform a VP of Marketing buys to find out which campaigns actually produced revenue. Deals run from about $6,000 a year for a small company to well over $100,000 for an enterprise rollout, and a typical one takes two to three months and four or five people at the customer saying yes.
The company is eight years old, past the risky part, not yet large. Around $5 million in recurring revenue, fifteen quota-carrying reps split into four pods. You have just been promoted to run the Central pod in Austin. Until last month you were one of its reps.
Who is on the team
Everything below is what HR and the org chart know. None of it tells you how any of them are actually doing.
- Priya Raman — 14 months in the role, promoted internally from the outbound team. Carries the broadest account list in the pod and is first into the office most days.
- Nate Halloran — four years, the longest-tenured rep here. Closed the two largest deals the pod has ever signed. Mostly enterprise, and the person everyone else asks when a deal gets complicated.
- Camila Ortiz — 20 months, hired from a competitor where she was a top performer. Mixed book across all three segments. Runs the most detailed deal notes on the team.
- Kate Lindqvist — two years, previously in channel sales. Concentrated in mid-market and SMB, and consistently the fastest in the pod to get a deal from first call to signature.
First, this CRM has never been audited. Every activity, close date and forecast category in it was typed in by the rep who owns the deal. It records what they said, not what happened.
Second, the home page you are about to land on ranks your team by closed revenue. That is the view Ray managed from, and it is the first thing you will see.
Hold three questions while you work: Who on this team is actually in trouble, as opposed to simply ranked last? Which of your reps looks safest and is the biggest risk to next quarter? And which number here would you be embarrassed to have quoted to Elena if she checked it herself?
Where does your week go?
You have twenty genuinely sellable hours this week. Give every one of them away before you commit. Nothing here advances time or rolls dice: when you commit, you will be shown what your own records already said about the deals you chose.
Debrief
Judged on the decision, not on an outcome. The records below were all visible to you before you committed.
Rep leaderboard
Add columns
Where deals are lost
Open pipeline
Deal aging
Is that gap real?
Two reps rarely close enough deals in a quarter for a difference in win rate to mean what it appears to mean. Pick any two and see.
Customer accounts
The quarter as your reps are calling it
Commit deals
Every deal a rep has personally committed to closing this quarter. A commit nobody has touched in a month is the one to ask about.
One thing that changes for each rep
This is what Elena asked for on Thursday. Pick a single intervention per rep and be ready to name the evidence. The numbers beside each name are the same ones on their scorecard; nothing here tells you what they add up to.
Deals to walk through
A coaching plan with no named deals is a conversation about attitude. Tick the opportunities you want each rep to take you through.
One account to rescue
Pipeline is not the only thing that can be lost this quarter. Pick the customer relationship you will personally put time into.
What the records supported
A choice is never marked wrong here. The review says what the evidence most supports, and what your choice would need to be true.