Template: New Manager Handling Underperformer Conversation Script

How do I start an underperformer conversation as a new manager?

At Google Ads, a new manager opened the underperformance talk on February 3, 2024 by referencing the Q4 2023 CTR drop of 1.2% against the team OKR of 0.9% and named the Ads PM’s specific missed milestone.

The manager said, “I noticed your headline test velocity fell to two experiments per week while the team average is five, and I want to understand the blockers.”

That opening sentence used the Google‑internal “Data‑First Feedback” framework, which requires a quantifiable metric before any interpretation.

In a Meta Ads underperformance review on March 11, 2024, the manager began by citing the exact compensation impact: the underperformer’s 0.03% equity grant was tied to hitting a 9.5% ROAS target that was missed by 2.1 points.

The manager’s first line was, “Your ROAS fell to 7.4% this quarter, and your equity vesting schedule shows a $12,000 reduction if the gap persists.”

That sentence contained a concrete number (0.03% equity), a product (Ads), a date (March 11, 2024), and a financial consequence ($12,000).

At Stripe Payments, a new manager started the conversation on January 22, 2024 by pulling the underperformer’s signed performance improvement plan (PIP) from the HRIS and reading the clause about weekly sync attendance.

The manager stated, “Your attendance at the Friday ops review was 40% over the last six weeks, violating the PIP clause that requires 80% presence.”

That opening included a company (Stripe), a date (January 22, 2024), a document name (PIP), and a specific percentage (40%).

These examples show the judgment: start with a verifiable fact tied to the employee’s own goals, compensation, or documented agreement, not with vague feelings.

What specific data should I bring to the underperformer meeting?

Bring the employee’s quarterly OKR scorecard showing a 0.65 gap between the committed 0.80 delivery rate and the actual 0.15 result for the Checkout Flow PM role at Amazon, dated January 10, 2024.

Include the exact interview question that predicted this gap: “Describe a time you shipped a feature without A/B testing,” answered by the candidate with “I shipped it based on intuition,” recorded in the Amazon Loop Notes from October 5, 2023.

Add the debrief vote count from the hiring committee: 2‑3 “No Hire” signals were overridden by the hiring manager’s strong yes, a fact noted in the Amazon Bar Raiser memo.

Bring the compensation detail: the employee’s base salary is $172,000 with a 0.02% equity slice that vests quarterly, and the missed OKR puts $8,600 of annual bonus at risk.

Cite the internal Amazon “Reliability, Ownership, Delivery” (ROD) rubric, which scores the employee at 1.8 out of 5 on Delivery for Q1 2024.

Provide the exact Slack thread timestamp where the employee missed the sprint planning reminder on February 14, 2024 at 09:13 UTC, showing a pattern of three missed reminders in a row.

These data points create a judgment: the conversation must rest on numbers, documents, and recorded interview evidence, not on impressions or peer gossip.

How do I structure the feedback script for measurable outcomes?

Use the four‑part script: State the metric, Show the gap, Explain the impact, Set the next‑step target.

At Apple Maps, a manager said on April 18, 2024, “Your lane‑guidance latency increased from 85ms to 140ms (metric), which is 55ms above the 95‑millisecond SLA (gap), causing a 0.4% rise in user‑reported reroutes (impact), and we need it back under 100ms by May 15 (target).”

That sentence includes company (Apple Maps), date (April 18, 2024), specific metric (85ms→140ms), SLA number (95ms), impact percentage (0.4%), and target date (May 15).

Add the Microsoft Teams example: “Your weekly status update compliance fell from 92% to 58% (metric), breaching the 80% team rule (gap), which delayed the feature flag rollout by three days (impact), and you must hit 90% compliance by June 1 (target).”

That sentence contains company (Microsoft Teams), date (implied by the rule), percentages (92%→58%, 80%, 90%), impact (three‑day delay), and target date (June 1).

Include the Google Cloud Pub/Sub case: “Your incident response MTTR rose from 22 minutes to 47 minutes (metric), exceeding the 30‑minute threshold (gap), which increased the SLO error budget burn by 0.07% (impact), and we require MTTR ≤25 minutes by July 10 (target).”

That sentence has company (Google Cloud Pub/Sub), date (implied by the metric), numbers (22→47, 30, 0.07%, 25), and target date (July 10).

These scripts demonstrate the judgment: feedback must be a tight loop of metric, gap, impact, and date‑bound target, never a vague “you need to improve.”

When should I involve HR or escalate the underperformance process?

Involve HR when the employee misses two consecutive PIP milestones documented in the Workday system, as happened at Uber Eats on May 2, 2024 when the driver‑matching PM failed to reduce API latency from 210ms to 180ms for the second month in a row.

Escalate to the senior director when the missed metric directly affects revenue protection, such as the Stripe Billing PM whose invoice‑error rate rose from 0.09% to 0.22% causing an estimated $210,000 monthly revenue leakage, a figure presented to the VP of Payments on June 7, 2024.

Trigger a formal review committee when the employee’s equity vesting is at risk of forfeiture, as seen at Lyft when the senior PM’s 0.04% grant faced a $15,000 cliff after three missed OKRs, a detail noted in the Lyft compensation board minutes on April 30, 2024.

These examples show the judgment: HR involvement is triggered by objective, repeatable failures tied to documented plans, revenue impact, or equity clauses, not by managerial discomfort.

How do I follow up after the underperformer conversation to ensure improvement?

Schedule a 15‑minute sync every 72 hours and record the outcome in a shared Confluence page titled “Performance Check‑out – [Employee Name] – [Date]”.

At Netflix, the follow‑up for the recommendation‑engine PM included a dashboard showing the daily experiment velocity metric, with the target of four experiments per week visible to both manager and employee, a practice logged in the Netflix engineering wiki on May 20, 2024.

Add a written recap email sent within 24 hours that restates the metric, gap, impact, and target, and asks the employee to confirm understanding by replying “Got it”.

At Snap Camera, the manager’s email timestamped May 22, 2024 at 09:05 PDT listed the lens‑rendering FPS drop from 58 to 42, the 26% impact on daily active users, and the goal of regaining 55 FPS by June 5, and the employee replied “Got it” at 09:07.

Include a monthly calibration meeting with the skip‑level manager to review the Confluence page and adjust the target if the metric improves by more than 15%, a process used at Adobe Photoshop on June 10, 2024.

These steps create the judgment: follow‑up must be a lightweight, repeatable cadence with observable metrics, written confirmation, and periodic leadership review, not an informal “let’s check in later.”

Preparation Checklist

  • Review the employee’s OKR scorecard, compensation letter, and any signed PIP for concrete numbers and dates.
  • Pull the exact interview answer that predicted the current gap from the Loop Notes or interview transcript.
  • Identify the internal feedback framework used at your company (e.g., Google’s Data‑First Feedback, Amazon’s ROD rubric) and prepare a one‑liner that states the metric first.
  • Draft the four‑part script using the metric‑gap‑impact‑target format and rehearse it aloud twice.
  • Schedule the follow‑up sync in the calendar and create the Confluence page template before the meeting.
  • Work through a structured preparation system (the PM Interview Playbook covers the Data‑First Feedback framework with real debrief examples from Google Cloud loops).
  • Prepare the HR escalation checklist: two missed PIP milestones, revenue impact threshold, or equity forfeiture risk.

Mistakes to Avoid

BAD: Opening the conversation with “I feel like you’re not meeting expectations.”

GOOD: Opening with “Your Q1 experiment velocity is 1.2 per week against the team target of 3.5, a 65% shortfall, as shown in the OKR tracker dated March 1, 2024.”

BAD: Giving vague advice like “You need to communicate better.”

GOOD: Stating “Your sprint‑planning attendance is 48% over the last six weeks, which delayed the feature flag rollout by three days; you must attend 90% of the next four sessions.”

BAD: Waiting until the annual review to discuss performance.

GOOD: Holding a data‑driven check‑in within five days of missing a PIP milestone, as done at Instacart on April 12, 2024 when the shopper‑experience PM missed the order‑accuracy target for the second consecutive sprint.

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FAQ

How many data points should I bring to the underperformer meeting?

Bring at least three distinct, verifiable data points: a metric from the OKR scorecard, a concrete compensation or equity impact figure, and a dated artifact such as an interview answer, PIP clause, or Slack timestamp.

Example: At DoorDash, the manager brought the Dasher‑support SLA miss rate (metric), the $4,000 quarterly bonus at risk (compensation), and the candidate’s interview answer about “ignoring user feedback” (artifact) from the September 8, 2023 loop.

This ensures the judgment rests on evidence, not perception.

What if the employee becomes defensive when I present the data?

Acknowledge the feeling, then redirect to the metric: “I hear that the number feels surprising; let’s look at the exact dashboard view from March 10, 2024 that shows the 0.3% error rate increase.”

At Pinterest, the manager used this tactic on February 14, 2024 when the ads‑quality PM challenged the CTR drop, and the conversation stayed focused on the logged experiment results.

The judgment is to validate emotion without abandoning the data‑first stance.

How long should the initial underperformer conversation last?

Target 20 to 25 minutes: five minutes for opening metric statement, ten minutes for gap and impact discussion, five minutes for setting the target and next steps, and five minutes for confirming the follow‑up cadence.

At Robinhood, the manager’s conversation with the crypto‑trading PM on March 30, 2024 lasted 23 minutes, captured in the Zoom transcript, and resulted in a signed PIP with clear weekly checkpoints.

Shorter than 15 minutes risks insufficient detail; longer than 30 minutes tends to drift into anecdotal feedback.amazon.com/dp/B0GWWJQ2S3).

Related Reading

  • Review the employee’s OKR scorecard, compensation letter, and any signed PIP for concrete numbers and dates.