NY Tolling Program · TDAP · Findings & recommendations topology
Insights
Last updated May 14, 2026 at 19:00 hrs EST
Seven views over the same evidence base: 33 findings across seven dimensions and 0 recommendations grouped by horizon and change-type. Each panel re-cuts the corpus along a different axis so patterns invisible on a table become legible at a glance.
◇ Dimension pressure
Two overlapping polygons across the seven dimensions. The filled polygon is total-findings density per dim; the inner stroke is triangulated-high count alone. A wide gap between the two means the dim has many findings but few that meet the strongest evidence bar.
- Total findings (filled)
- Triangulated-high only (inner stroke)
⌬ CRTA capability heat-map
Where CRTA's in-house capability is strong, partial, or has a real gap — relative to what each dimension's findings show the program needs. This is the assessment team's honest external read; treat it as the starting point for a build/buy/partner conversation. Click any card to see the named internal assets and the specific gap.
No capability assessment yet.
▦ Severity heatmap
Each cell is a count: how many findings in that dimension hit that evidence tier. Cell shade scales to the matrix max (4). Read across a row to see a dim's strength profile; read down a column to see where the program clusters at each tier.
| Trig·High | Trig·Med | Single·High | Other | Total | |
|---|---|---|---|---|---|
| D1 QA | 4 | · | · | · | 4 |
| D2 Resources | 4 | 1 | · | · | 5 |
| D3 Release | 4 | · | · | · | 4 |
| D4 Environment | 4 | 2 | · | · | 6 |
| D5 Transition | 4 | · | · | · | 4 |
| D6 O&M Model | 3 | 1 | · | · | 4 |
| D7 Agency | 4 | 2 | · | · | 6 |
| Σ | 27 | 6 | 0 | 0 | 33 |
✦ Findings constellation
Every finding plotted as a bubble. X = evidence count (how many citations back it); Y = tier rank (triangulated-high at top); color = dimension; bubble area = evidence count. The cluster top-right is the program's "load-bearing" set — strong-tier findings with deep evidence underneath.
- D1 QA
- D2 Resources
- D3 Release
- D4 Environment
- D5 Transition
- D6 O&M Model
- D7 Agency
▣ Recommendation matrix
Each recommendation is a dot, colored by its dimension, placed in the 3 × 6 cell of (horizon, change-type) it occupies. Dense cells flag the "shape" of the recommendation set — quick-wins clustered short-term, structural moves clustered long-term, etc.
| short-term | medium-term | long-term | Σ | |
|---|---|---|---|---|
| quick-win | · | · | · | 0 |
| procedural | · | · | · | 0 |
| architectural | · | · | · | 0 |
| organizational | · | · | · | 0 |
| cultural | · | · | · | 0 |
| structural | · | · | · | 0 |
| Σ | 0 | 0 | 0 | 0 |
◐ Evidence provenance
Polar wedges, one per dimension. Inner band = citations sourced from Sessions (CRTA SWAT interviews); outer band = citations sourced from the VOC (NY tolling agency leadership). Wedge size is the total. Tells you per dim how much weight each side of the evidence base carries.
- Inner band — Sessions citations
- Outer band — VOC citations
↦ Findings → Recommendations
Flow widths show how many recommendations attribute to each dimension and which horizon they target. A thick band into "long-term" from a single dim signals a structural-debt cluster; broad fan-out into "short-term" signals quick-wins across many dims.
⋹ Recommendation beeswarm
Each recommendation as a single dot, colored by change-type, positioned within its horizon band. Within a band, dots are jittered vertically (deterministic) to make density visible — a tall pile means many recs of the same horizon, a sparse band means fewer.
- quick-win
- procedural
- architectural
- organizational
- cultural
- structural