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| Original file line number | Diff line number | Diff line change |
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| **Value Modeling & Targeting Documentation** | ||
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| This document outlines the rationale and logic behind the calculated metrics and targets used in the "Value Modeling & Targeting" dashboard. Each section corresponds to a category of metrics displayed in the dashboard. | ||
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| --- | ||
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| ### Org Metrics | ||
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| **Seats** | ||
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| - **Logic**: Based on the average total active seats(licenses) across top 10 recent days for the organization. | ||
| - **Max**: Set to known total developer headcount. | ||
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| **Adopted Devs** | ||
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| - **Logic**: Average of total active developers using AI tooling (e.g. Copilot) from top 10 recent days for the organization. | ||
| - **Max**: Total known developer count. | ||
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| **Monthly Devs Reporting Time Savings** | ||
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| - **Logic**: Count of distinct users who responded to time-savings surveys in past 30 days. | ||
| - **Target**: Double the current, indicating intent to increase reporting. | ||
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| **% of Seats Reporting Time Savings** | ||
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| - **Logic**: (Monthly reporting users / total seats) \* 100. | ||
| - **Purpose**: Shows how broadly time savings are captured. | ||
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| **% of Seats Adopted** | ||
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| - **Logic**: (Adopted Devs / Total Seats) \* 100. | ||
| - **Use**: Adoption penetration relative to seat assignments. | ||
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| **% of Max Adopted** | ||
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| - **Logic**: (Adopted Devs / Total Developer Count) \* 100. | ||
| - **Use**: Indicates potential ceiling for adoption. | ||
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| --- | ||
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| ### Daily User Metrics | ||
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| **Daily IDE Suggestions** | ||
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| - **Logic**: Averaged from last 5 valid daily records. | ||
| - **Target/Max**: Calibrated based on observed high-performing usage. | ||
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| **Daily IDE Acceptances** | ||
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| - **Logic**: Suggestions \* 30% (default assumed acceptance rate). | ||
| - **Target/Max**: Reflects healthy usage from productive orgs. | ||
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| **Daily IDE Chat Turns** | ||
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| - **Logic**: Average of chat turns per day per user from recent week. | ||
| - **Target/Max**: Reflects healthy usage from productive orgs. | ||
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| **Daily Dot-Com Chats** | ||
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| - **Logic**: Chat Turns \* 33% (estimated portion on dot-com). | ||
| - **Target**: Not yet set pending more data. | ||
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| **Weekly PR Summaries** | ||
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| - **Logic**: Total PR summaries / daily active users from last week. | ||
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| **Weekly Time Saved** | ||
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| - **Logic**: Weekly average from time savings reports per developer.\ | ||
| // Calculate weekly hours saved based on settings and average percent | ||
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| const weeklyHours = hoursPerYear / 50; // Assuming 50 working weeks | ||
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| const weeklyDevHours = weeklyHours \* (percentCoding / 100); | ||
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| const avgWeeklyTimeSaved = weeklyDevHours \* (avgPercentTimeSaved / 100); | ||
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| --- | ||
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| ### Calculated Impacts | ||
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| **Monthly Time Savings (hrs)** | ||
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| - **Formula**: Adopted Devs \* Weekly Time Saved \* 4. | ||
| - **Max**: 80 hours/month \* total seats (full work month). | ||
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| **Annual Time Savings (Dollars)** | ||
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| - **Formula**: Weekly Time Saved \* 50 weeks \* \$100/hr \* Adopted Devs. | ||
| - **Note**: \$100/hr is assumed average developer cost. | ||
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| **Productivity / Throughput Boost** | ||
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| - **Formula**: ((40 + Weekly Time Saved) / 40 - 1) \* 100. | ||
| - **Purpose**: Estimates effective increase in output per dev. | ||
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| --- | ||
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| ### Source of Calculations | ||
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| All calculations were derived from one or more of: | ||
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| - Recent metric exports (5 most recent days) | ||
| - Monthly time-savings surveys | ||
| - Developer seat and activity data | ||
| - Assumed baselines (e.g., 40-hr weeks, \$100/hr, 70% acceptance) | ||
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| Targets are either: | ||
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| - Reflective of past top 10 org benchmarks | ||
| - Strategically aspirational (2x current, known limits) | ||
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| --- | ||
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| This model provides a structured framework for tracking usage, estimating impact, and guiding adoption investments. | ||
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| > Edits can include notes on thresholds, cohort segmentation, or more nuanced modeling (e.g., p50/p90 range breakdowns). | ||
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