For Team Managers and Revenue Leaders
Heldly for Team Managers and Revenue Leaders
Monday morning. Ask Claude how the team did last week. Get the answer in your manager's language.
Monday 8:14 AM
How did the team do last week?
The question you'd ask a BI analyst, except it's Monday morning, the analyst hasn't logged in yet, and you've got a 9:00 1:1 with your VP. You start typing it to Claude.
Monday 8:14 AM
You ask Claude.
Plain English. No SQL, no dashboard filters, no "export to CSV." Claude reads the workspace insights — every meeting your team booked since last Monday.
Monday 8:14 AM
Claude tells you in three numbers.
Volume, pick rate, time-to-pick. The three numbers that matter, with last-week deltas, in the language you'd use in your 1:1 — not the language a BI dashboard uses.
Monday 8:15 AM
Who's lagging?
Follow up like you're talking. No drill-down menu, no filter pane. Claude knows you mean your sellers, this workspace, last week — because that's the conversation you're in.
Monday 8:16 AM
The names, not the dashboard.
You walk into your 1:1 with the question already answered. No tab open, no screenshot to paste, no "hold on, let me pull this up." Just the three names you needed.
Today
Welcome back. What can I help with this week?
—
Meetings
—
Pick rate
—
Time-to-pick
How did the team do last week?
Reading workspace data — 47 meetings across 8 sellers. Computing pick rate and time-to-pick percentiles.
Last week the team booked 47 meetings across 8 sellers. Pick rate held at 74% and time-to-pick dropped to 3.2 hours median.
47
Meetings
+12%
74%
Pick rate
+4pp
3.2h
Time-to-pick
−1.1h
Anna and Daniel booked more than half the team's volume. Three sellers haven't booked in 14 days — worth a check-in.
Who's lagging?
Three sellers haven't booked in 14+ days: Jordan, Priya, and Tomás. Want me to pull their last-touch history?
Last week the team booked 47 meetings across 8 sellers. Pick rate held at 74% and time-to-pick dropped to 3.2 hours median.
47
Meetings
+12%
74%
Pick rate
+4pp
3.2h
Time-to-pick
−1.1h
Anna and Daniel booked more than half the team's volume. Three sellers haven't booked in 14 days — worth a check-in.
Today
Welcome back. What can I help with this week?
—
Meetings
—
Pick rate
—
Time-to-pick
Monday 8:14 AM
Step 01
How did the team do last week?
The question you'd ask a BI analyst, except it's Monday morning, the analyst hasn't logged in yet, and you've got a 9:00 1:1 with your VP. You start typing it to Claude.
How did the team do last week?
Reading workspace data — 47 meetings across 8 sellers. Computing pick rate and time-to-pick percentiles.
Monday 8:14 AM
Step 02
You ask Claude.
Plain English. No SQL, no dashboard filters, no "export to CSV." Claude reads the workspace insights — every meeting your team booked since last Monday.
Last week the team booked 47 meetings across 8 sellers. Pick rate held at 74% and time-to-pick dropped to 3.2 hours median.
47
Meetings
+12%
74%
Pick rate
+4pp
3.2h
Time-to-pick
−1.1h
Anna and Daniel booked more than half the team's volume. Three sellers haven't booked in 14 days — worth a check-in.
Monday 8:14 AM
Step 03
Claude tells you in three numbers.
Volume, pick rate, time-to-pick. The three numbers that matter, with last-week deltas, in the language you'd use in your 1:1 — not the language a BI dashboard uses.
Who's lagging?
Three sellers haven't booked in 14+ days: Jordan, Priya, and Tomás. Want me to pull their last-touch history?
Monday 8:15 AM
Step 04
Who's lagging?
Follow up like you're talking. No drill-down menu, no filter pane. Claude knows you mean your sellers, this workspace, last week — because that's the conversation you're in.
Last week the team booked 47 meetings across 8 sellers. Pick rate held at 74% and time-to-pick dropped to 3.2 hours median.
47
Meetings
+12%
74%
Pick rate
+4pp
3.2h
Time-to-pick
−1.1h
Anna and Daniel booked more than half the team's volume. Three sellers haven't booked in 14 days — worth a check-in.
Monday 8:16 AM
Step 05
The names, not the dashboard.
You walk into your 1:1 with the question already answered. No tab open, no screenshot to paste, no "hold on, let me pull this up." Just the three names you needed.
The answer was in your inbox before the analyst was at her desk.
The rest of the 1:1
“How did Anna do this quarter?”
Anna led the team in volume. Her pick rate held at 81% — top of the team.
“What's our pick rate trend over the last 12 weeks?”
Holding at 71–75%. The 12-week median is 73%. No drift either direction.
“Show me time-to-pick by seller.”
Six sellers under 4 hours median. Two over 12 — Jordan and Mac. Worth a coaching note.
“Anyone with a sudden drop in volume in the last 14 days?”
Two. Mac dropped from 8/week to 2. Jordan's down 40%. Worth a check-in this week.
See it in action
Real transcripts of the conversations from this playbook.
“What did the team book last week?”
Heldly counts proposed, picked, and still-in-flight across every host in the workspace. Team admins only.
“What's our pick rate this quarter?”
Of the meetings you proposed last quarter, how many got picked? Heldly returns the funnel from proposed to opened to picked to confirmed.
“How fast are invitees picking?”
Median and p90 from picker-sent to picked across your team's recent meetings. Spot the slow-moving accounts.
Try it
Free forever — 5 meetings/month. No card. Connect Google Calendar, paste the connector URL into Claude, and ask for your first meeting.
Other playbooks
- BDRs and SDRsThe cold reply lands at 4:47pm. By 4:48 the AE's calendar has a tentative on it.→
- Account ExecutivesThe champion forwards you to procurement. You ask Claude to add them to the next call. Done in one turn.→
- Account ManagersNinety days before renewal: ask Claude to set up the review with the VP and your SE. Three slots that work for everyone, one picker email, done.→