Ops wanted another mandatory CRM field. We said no.
Then we deleted the rest.
Every sales team has a CRM full of fields nobody fills, because every missing number caused a meeting and every meeting added a field. Reps stop trusting the system, leadership stops trusting the data, and the pipeline review turns into a memory test.
We cut it down to two fields that matter every week:
Next step. What happens next with this person, and what you'll do this week to move them one stage.
Objection. A dropdown, not free text, so patterns show up across the whole team instead of living in one rep's head.
Everything else is either automated or noise.
Two fields that are always filled are worth more than fourteen that are empty. When the data is wrong, leadership reports the wrong story to investors without knowing it.
How does a CRM end up with 14 empty fields?
Missing number → meeting → new field → nobody fills it → repeat.
Reps stop trusting the system. Leadership stops trusting the data. The pipeline review becomes a memory test.
Which CRM fields did we remove?
All 14:
- Lead source
- Industry
- Company size
- Tech stack
- Budget range
- Decision timeline
- Competitor named
- Champion identified
- Pain score 1–5
- Last touch channel
- Persona
- Region
- Contract type
- Notes (free text)
Which two fields should every rep fill?
Both required.
Next step. What happens next with this person, and what you'll do this week to move them one stage.
Objection. A required dropdown, not free text. Options:
- Budget
- Timing
- Incumbent
- Security review
- Not the buyer
- No pain yet
Why use a dropdown for objections instead of free text?
Patterns show up across the whole team instead of living in one rep's head. Illustrative distribution below. The point is that one exists.
| Objection | Share (illustrative) |
|---|---|
| Incumbent | 31% |
| Timing | 24% |
| Security review | 18% |
| Budget | 15% |
| Not the buyer | 12% |
What do empty CRM fields cost?
A board was shown 60 MQLs one month and 18 the next. The definition moved and the fields were guessed. Wrong data becomes the wrong story to investors.
Everything else is either automated or noise. Next step and objection, filled every week, is the whole system.