How TAD Delivery Intelligence Works
TAD is a structured diagnostic — not a black box. Here is exactly how the process works at each tier.
Email-gated for result delivery. No account, no credit card, no sales call.
Cycle time, WIP management, unplanned work, SLE status, and team pain points. Structured and fast.
Directional scores across 4 dimensions with 1–2 flagged risk areas. Results on screen, copy sent to your email.
Choose how many teams to include in the diagnostic.
20–30 structured questions per team covering delivery patterns, data quality, SLE usage, and pain points.
Pay once. Your data is saved and analysis begins immediately after confirmation.
Scored profiles across 6 dimensions, data confidence assessment, SLE validation, cross-team comparison (if applicable), and 3–5 prioritized findings. Exportable PDF.
Scope the engagement based on your department structure and team count.
30+ structured questions per team. Where applicable, TAD may also review Jira data, SLE documentation, and team structure artifacts.
All 6 dimensions scored plus full analytical layers, department-level pattern recognition, root cause analysis, and cross-team comparison.
Department scorecard, per-team profiles, root cause mapping, and prioritized action plan with sequencing. Delivered within 5–10 business days.
1-hour walkthrough of findings with TAD. Align on priorities and implementation sequencing.
Re-run the full diagnostic to measure improvement delta across every dimension and team. Included in your purchase.
- Directional scores across 4 core dimensions (Flow, WIP, Throughput, Intake)
- 1–2 flagged risk areas based on response patterns
- A clear indication of whether deeper analysis is warranted
- Full 6-dimension scoring with weighted analysis
- Data confidence assessment (self-report vs. tool-validated)
- SLE integrity evaluation — is your delivery commitment statistically grounded?
- Cross-team comparison for multi-team submissions
- 3–5 prioritized findings with recommended actions
- Exportable PDF report for stakeholder distribution
- Everything in Plus, expanded to 4+ teams
- Department-level pattern recognition and root cause mapping
- Bottleneck classification against 9 structural failure types
- Executive scorecard with sequenced action plan
- 1-hour executive debrief walkthrough
- 90-day rescore included — measure actual improvement delta
TAD’s scoring engine uses a weighted model with cross-validation against self-reported pain points. CSV data from Jira or Linear improves confidence ratings. The engine pattern-matches against 9 structural bottleneck types and generates root-cause analysis with specific recommended actions. Data confidence and SLE integrity are evaluated as separate analytical layers in Plus and Pro.
The six scoring dimensions — Flow, WIP, Throughput, Intake, Structure, and Visibility — each map to specific operational conditions. A score of 3 on WIP, for example, means WIP limits exist but are regularly exceeded. A score of 1 on Intake means work enters the system outside any defined process. These are not subjective grades — they correspond to measurable system states derived from flow-based delivery principles.
When tool data is provided (via CSV export from Jira, Linear, or Azure DevOps), the engine cross-references self-reported answers against actual cycle time distributions, WIP counts, and throughput patterns. This dual-validation approach increases data confidence and surfaces discrepancies between what teams believe about their system and what the data actually shows.
Most diagnostic tools give you a score and leave you to interpret it. TAD was built by an operator who spent years inside engineering delivery systems — diagnosing the same structural failures this model now detects automatically. The scoring weights, bottleneck patterns, and analytical layers all come from real delivery transformation work, not theory.
That’s the difference between a survey and a diagnosis.
Lite takes under 10 minutes. Plus takes 15–20 minutes per team, with your scored report delivered within 48 hours. Pro engagements are scoped based on team count and typically deliver a full report within 5–10 business days.
No. The diagnostic works with self-reported intake responses alone. However, if you provide a CSV export from your work management tool, data confidence increases significantly and the engine can cross-validate your answers against actual delivery patterns.
Maturity assessments evaluate practice adoption — standups, retros, planning. TAD evaluates system behavior — is work actually flowing, are WIP limits holding, is your SLE statistically valid. As the Kanban University research demonstrates, you can adopt every practice in the book and still have structural delivery failure. TAD finds those failures.
Especially if you already have metrics. Metrics tell you what happened. TAD tells you why it happened and where to intervene. Most teams with mature metrics dashboards still can’t answer: which team should we fix first, and what’s the root cause? TAD answers both.
Operator-built delivery intelligence · Used by engineering teams shipping real software