AI Impact Report Example Report
AI-Impact-Report-2026-02-05.txt
AI IMPACT REPORT Generated with Track Impact by MYPEAS.AI 05/02/2026 ======================================== YOUR AI IMPACT OVERVIEW ======================================== Total Items Tracking: 6 Workflows Adopted: 4 Realized Time Saved: 19.3 hours/week Potential Savings: 2.5 hours/week Avg Quality Score: 3.8/5 Evidence Items: 2 ======================================== CAPACITY & FINANCIAL IMPACT ======================================== FTE Recovered: 48% (0.48 FTE) Annual Hours: 925 hours/year Realized Value: $43,313/year Potential Value: $5,625/year ======================================== ADOPTED WORKFLOWS ======================================== 1. Claude Category: General Time Saved: 8.5h/week Quality Score: 5/5 Evidence: 1 item 2. GoalFocus Category: General Time Saved: 5.8h/week Quality Score: 4/5 3. AI Workflow Category: General Time Saved: 4.0h/week Quality Score: 3/5 4. Painpoints Category: General Time Saved: 1.0h/week Quality Score: 3/5 Evidence: 1 item ======================================== Upgrade to Pro for full PDF reports with charts and detailed analytics! → mypeas.ai/track-impact ======================================== Powered by MYPEAS.AI Track Impact

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Personal Performance Report

AI IMPACT REPORT

Q1 2026

Executive Summary AI Enhanced

I adopted four AI-driven workflows that recovered 19.3 hours/week (925 hours/year) and delivered a realized value of $43,313/year in my role as a Product Manager. The most credible gains came from faster prototyping (Claude) and standardized pain-point capture, though overall evidence is moderate (2 documented items) and would benefit from additional measurement for some large-time-savings workflows.

Key Insight: The single most impactful, credible finding was my adoption of Claude, which I used to accelerate idea iteration and prototyping—measured as a +700% improvement in time-to-MVP prototypes—contributing materially to the 0.48 FTE-equivalent capacity I recovered through adopted workflows.

CAPACITY IMPACT
48% FTE Recovered
Your AI adoption has recovered capacity equivalent to 0.48 full-time employees (925 hours/year)
FINANCIAL IMPACT (BASED ON $90,000 SALARY)
$43,313
Realized Annual Value
From 4 adopted workflows
$5,625
Potential Annual Value
If 2 pilots & plans adopted
Calculated at $46.88/hour × 48 working weeks/year
19.3h
Realized Savings
From adopted workflows
2.5h
Potential Savings
From pilots & planned
4
Workflows Adopted
3.8
Avg Quality Score
2
Evidence Items

Your AI Impact at a Glance

Status Distribution

Time Saved by Category

10
Total Items
5
Adopted
3
Piloting
2
Planning
0
Paused/Stopped

Category Breakdown

Category Items Adopted Time Saved
Research & Analysis 2 2 11.0h/week
Strategy & Planning 2 1 10.0h/week
Communication 2 1 7.5h/week
Engineering 1 0 4.0h/week
Data & Analytics 1 0 3.5h/week
Customer Success 1 1 2.5h/week
Operations 1 0 1.5h/week

Featured Case Studies 1 Case

Coordinate Cross-Functional Teams
Project Management
Planning
Situation
In my role as a Product Manager, I was responsible for leading weekly syncs for the New User Onboarding flow. The team consisted of stakeholders from Engineering, UX Design, and Product Marketing. Initially, these meetings were becoming disorganized, often diving too deep into technical debt or marketing copy without addressing the primary project milestones, leading to "meeting fatigue" and stalled decision-making.
Task
I needed to create a standardized, highly efficient meeting agenda process that ensured every cross-functional voice was heard while keeping the discussion focused on high-level objectives. My goal was to reduce meeting time by 20% and ensure that 100% of blockers were identified and assigned by the end of each session.
Action
To solve this, I leveraged AI (Claude) to build a dynamic agenda generation system. I developed a prompt that ingested the previous week's action items, the current Jira sprint status, and any "hot fixes" from the engineering lead. I structured the generated outline into three distinct phases: The Retro (5 mins), The Meat (decisions/blockers - 20 mins), and The Horizon (upcoming milestones - 5 mins). I automated the delivery 24 hours in advance and implemented strict time-caps on agenda items.
Result
Efficiency: Reduced average meeting duration from 60 minutes to 45 minutes. Clarity: Increased the "Action Item Completion Rate" by 30% because responsibilities were clearly documented in the AI-generated summary post-meeting. Sentiment: Received positive feedback from the Engineering Lead and Design Director on the improved focus and respect for their time.
Time Saved: 2.0h/week Quality: 4/5

KPI Alignment

🎯 Reduce Time-to-Decision
Connected to 3 workflow(s) • Contributing 15.0h/week savings
🎯 Improve Stakeholder Communication
Connected to 2 workflow(s) • Contributing 7.5h/week savings
🎯 Increase Team Velocity
Connected to 2 workflow(s) • Contributing 8.0h/week savings

Workflow Details

Claude
Adopted
Advanced AI assistant by Anthropic. Excels at long-form content, analysis, and nuanced reasoning.
Time Saved: 8.5h/week Category: General Quality: 5/5 Evidence: 1 item(s)
"Claude code has been a game changer for my code productivity. I am able to build MVP and prototypes without the long lead times..."
Business Impact
Idea iteration and prototyping: +700% (via Time to MVP prototypes)
GoalFocus
Adopted
Introducing GoalFocus, the ultimate task management and to-do list app designed to help you achieve your goals. By prioritizing your daily tasks based...
Time Saved: 5.8h/week Category: General Quality: 4/5
"It did what I expected it to do and more."
AI Workflow
Adopted
Automated Task Tracking & Notifications with Motion and Airtable
Time Saved: 4.0h/week Category: General Quality: 3/5
Project Plan Agent
Planning
An AI agent that automates project plan updates, recalculates critical paths, and communicates changes to stakeholders in real-time.
Time Saved: 1.5h/week Category: General Quality: 4/5
Coordinate Cross-Functional Teams
Planning
Generated document outline for: Prepare Meeting Agendas for Cross-Functional Teams
Time Saved: 1.0h/week Category: Project Management Quality: 4/5
Painpoints
Adopted
The "Collect insights" tool is a valuable resource for uncovering customer pain points and strengths in products or services. One of the main challeng...
Time Saved: 1.0h/week Category: General Quality: 3/5 Evidence: 1 item(s)
"We have a standardised statement of record for user pain points."
Business Impact
Time to identify pain points: 7% (via This tool itself)

Business Impact Summary

2 workflows have documented business impact metrics beyond time savings.

Claude
Idea iteration and prototyping: +700%
Measured by: Time to MVP prototypes
Painpoints
Time to identify pain points: 7%
Measured by: This tool itself

Supporting Evidence

Documentation and proof points collected to substantiate reported impact.

Claude 1 item
Screenshot
Painpoints 1 item
Note

AI-Powered Insights

Report Confidence
Evidence: moderate (2-4 items) Confidence: medium
To strengthen: Time-saved claim for GoalFocus (5.8 h/week) currently has no supporting evidence and should be documented (time logs or before/after comparisons); Time-saved claim for AI Workflow (4 h/week) currently has no supporting evidence and should be validated with usage metrics.
Role Alignment

The AI adoption directly supported core Product Manager responsibilities: accelerating prototyping and idea iteration, and improving the speed and consistency of user pain-point identification—both of which inform product decisions and roadmap prioritization.

Performance Review Bullets
  • Saved 8.5 hours/week by adopting Claude for prototyping; measured a +700% improvement in time-to-MVP prototypes (evidence documented).
  • Saved 1 hour/week by adopting the Painpoints workflow and reduced time to identify pain points by 7% (measured by the tool).
  • Adopted four workflows that together saved 19.3 hours/week (925 hours/year), generated a realized value of $43,313/year, and recovered capacity equivalent to 0.48 FTE; 50% of adopted workflows had measured or validated evidence (2 documented items) with an average quality score of 3.8/5.
Category Insight

The largest benefits were in prototyping and idea iteration (Claude) and in standardizing user pain-point capture (Painpoints). General productivity tools (GoalFocus and AI Workflow) accounted for the largest absolute time savings (5.8 h/week and 4 h/week) but lack documented evidence; project-management planning activities remain in planning and show smaller potential savings.

Next Steps
  1. Document usage and time-saved for GoalFocus and AI Workflow (time logs, before/after comparisons, and representative output samples) to convert estimated savings into measured savings.
  2. Link each workflow to Product Management job-profile activities and add HITL annotations to enable a formal automation-potential analysis.
  3. Pilot and measure the planned Project Plan Agent and Coordinate Cross-Functional Teams workflows with the same evidence metrics to validate the additional potential.
Manager Discussion Points
  • Can we allocate a short effort (1-2 weeks) to formally document time-saved and output quality for GoalFocus and AI Workflow so I can convert estimated savings into measured results?
  • Please recognize the measured +700% improvement in prototyping speed and the overall 0.48 FTE-equivalent capacity recovered from AI workflow adoption as validated contributions to product delivery velocity.
Generated by AI (gpt-4) • February 5, 2026

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