Investment Focus, Team Efficiency & Predictability
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Where are we investing our resources?
Keep teams focused on top business priorities and understand the impact of non-strategic efforts without the guesswork
Quarterly Investment Distribution - Trailing Year
Investment Focus KPI: 55% or higher
Visualization Source Data:
Trailing Year • Chart Settings: Aggregation: sum, Week Start Day: Monday
Resource Allocation: By Investment Category
Your team spent a total of $157k. In the previous period your team spent $185k, down 15%.
Visualization Source Data:
Jan 1, '25 - Mar 31, '25 • Chart Settings: Aggregation: sum, Week Start Day: Monday
Last 90 Days Investment Focus
Visualization Source Data:
Trailing 90 Days • Chart Settings: Aggregation: sum, Week Start Day: Monday
Investment Hours: By Investment Category
Your team worked a total of 688 hours. In the previous period your team worked a total of 1.23k hours, down 43.9%.
Visualization Source Data:
Jan 1, '25 - Mar 31, '25 • Chart Settings: Aggregation: sum, Week Start Day: Monday
How effective is our delivery?
What is our feature delivery volume and how accurate are our commitments to deliver?
How many features have we delivered?
Visualization Source Data:
Trailing Year • Chart Settings: Aggregation: count, Week Start Day: Monday
How precise are our commitments?
Visualization Source Data:
Trailing Year • Chart Settings: Aggregation: count, Week Start Day: Monday
How long do things take?
What is our lead time to delivery and where are we getting stuck?
Attainment with Orig Scope, Dec 19, 2024 - Mar 19, 2025
- 62.2%Attainment of original commitmentWAF board
Attainment with Changes, Dec 19, 2024 - Mar 19, 2025
- 62.1%Completion of original & addedWAF board
Cycle Time
Threshold: Not more than 1 week in development
Example: Baseline Cycle Time < 5 day
Visualization Source Data:
May 1, '24 - Aug 31, '24 • Chart Settings: Aggregation: median, Week Start Day: Monday
Attainment with Changes, Dec 19, 2024 - Mar 19, 2025
Target >= 80 % Danger Zone < 60 %
Project: WAF board
What share of cycle time is in each state?
On average, an issue took 1.58 days to finish a stage in your process, down 33.8% from the previous period.
Visualization Source Data:
Trailing Year • Chart Settings: Aggregation: avg, Week Start Day: Monday
Story Velocity by Team
Visualization Source Data:
Trailing 90 Days • Chart Settings: Aggregation: sum, Week Start Day: Monday
Developer Activity
Are we getting commensurate participation from our development teams and are they completing work consistently?
How quickly do we respond to PRs?
Your team took a median 0.21 days to give the first approval to pull requests, down 69.7% compared to the previous period when your team took 0.7 days.
PR Merge Goal - Industry Benchmark < 1 Days
PR Merge Minimum - Baseline < 2 days
Visualization Source Data:
Trailing 90 Days • Chart Settings: Aggregation: median, Week Start Day: Monday
Active Contributors
Visualization Source Data:
Jan 1, '24 - Jan 1, '25 • Chart Settings: Aggregation: count_unique, Week Start Day: Monday
How many PRs do we open each week?
Your team created 115 pull requests, which is down 5% from the previous period when your team created 121 pull requests.
Visualization Source Data:
Trailing 90 Days • Chart Settings: Aggregation: sum, Week Start Day: Monday
Team Coding Days per Week
Visualization Source Data:
Trailing 90 Days • Chart Settings: Aggregation: median, Week Start Day: Monday
