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Performance

GTM performance reviews, grounded in HubSpot

Anyone can pull quota attainment. Claude pulls the deals behind it — cycle length, expansion versus new logo, forecast drift — so the review is about how the number happened, not just that it did.

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Taito.ai assembles Hannah Reid's Q2 performance review, grounded in 7 closed deals and 42 activities and pulling source signal from Taito.ai and HubSpot, then drafting the reasoning: Hannah closed 118% of quota in Q2, sourced $1.4M in new pipeline, and led the Northwind expansion alongside three logo wins. Forecast accuracy has held within 5% since April, with growth opportunity in shortening mid-market discovery… It follows up with a suggested coaching conversation agenda: Open on the Northwind expansion and what made it land. Move to the two mid-market deals that slipped a quarter and where discovery ran long, then agree a Q3 target for cycle length.

How it works

The story behind the number

Set the cycle up once. Claude reads the deals under the attainment number — cycle length, expansion, forecast drift — and drafts the review on the Taito.ai performance record.

The number, and how it happened

Cycle length, expansion mix, and forecast drift sit next to attainment instead of behind it.

Territory separated from performance

Same window, same metrics, every rep — benchmarked against the team median.

Coaching, not scorekeeping

The review time goes on the two deals that went sideways, not on assembling a spreadsheet.

Prompt 

In Taito.ai, set up the Q2 GTM performance review cycle.

Participants:
  – Everyone in the GTM job families: AE, SDR/BDR, CSM, Sales Engineering
  – Include GTM leadership (managers reviewed by their leaders)

Questions each manager answers per direct report:
  1. Number delivery — quota attainment, pipeline sourced, deals closed
  2. Deal quality — expansion vs. logo, retention, forecast accuracy
  3. Activity and craft — outbound volume, discovery quality, demo skill
  4. Collaboration — how they showed up for pods, marketing, and CS
  5. Growth — what to invest in next quarter

Schedule:
  – Opens July 1, closes July 15
  – Calibration meetings scheduled for July 17–19
  – Reminders at T-7, T-3, T-1 for anyone with open answers
  • Claude
  • Taito.ai MCP
  • HubSpot MCP

Frequently asked questions

Which HubSpot data does it read?
Deals, pipeline, activity, and forecast history for the review window — the same records the manager could open themselves, pulled with their own permissions.
Does this just rank people by quota?
Attainment is one input. The draft also covers deal quality, cycle length, expansion versus new logo, and forecast accuracy against the team median, so territory luck is easier to separate from performance.
Can GTM and engineering cycles run side by side?
Yes. Both are review cycles in Taito.ai and only the evidence source differs — HubSpot here, Linear for engineering reviews.

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