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McKinsey · consulting-deck

MTA Financial Impact COVID-19

38 pages · 5 arc beats · 2 loops

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MTA Financial Impact COVID-19

McKinsey
arc beats above · slides in the middle · loops below · scroll → 2 LOOPS
SETUP TENSION ANALYSIS EVIDENCE RESOLUTION APPENDIX
HOVER FOR DETAILS · CLICK A SLIDE FOR FULLSCREEN · STEP 2
— No image bound to this slide. Wire up imgproxy to display the rendered slide JPEG.
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Deck intelligence map

5
coverage by narrative range · generated from this deck JSON
Narrative range 30 total
Metadata
Components
Metrics
Tools
Frameworks
Beats
Loops
Situation & Context 2 slides 100% 2/2 slides 100% 2/2 slides · 14 hits
— 0/2 slides
— 0/2 slides
50% 1/2 slides 100% 2/2 slides 100% 2/2 slides Problem & Complication 5 slides 100% 5/5 slides 100% 5/5 slides · 39 hits 80% 4/5 slides 20% 1/5 slides 20% 1/5 slides 100% 5/5 slides 100% 5/5 slides Solution & Approach 5 slides 100% 5/5 slides 100% 5/5 slides · 33 hits 80% 4/5 slides 100% 5/5 slides
— 0/5 slides
100% 5/5 slides
— 0/5 slides
Evidence & Proof 9 slides 100% 9/9 slides 100% 9/9 slides · 58 hits 33.3% 3/9 slides 44.4% 4/9 slides · 6 hits 33.3% 3/9 slides 100% 9/9 slides
— 0/9 slides
Impact & Next Steps 9 slides 100% 9/9 slides 100% 9/9 slides · 60 hits 77.8% 7/9 slides 22.2% 2/9 slides 11.1% 1/9 slides 100% 9/9 slides 66.7% 6/9 slides

Slide inventory

38
every slide · same image gating as the playbook
01
Slide 1
other
Open slide detail
02
front_matter
Open slide detail
03
summarize
Open slide detail
04
other
Open slide detail
05
front_matter
Open slide detail
06
The slide uses a simple additive framework to explain the revenue model components.establish_context
Open slide detailBeat · Situation & ContextLoop · Maturity Curve
07
The slide uses a causal-chain logic to explain the methodology behind ridership forecasting during the COVID-19 pandemic.present_framework
Open slide detailBeat · Situation & ContextLoop · Maturity Curve
08
The chart categorizes transit systems by mode (Commuter Rail, Heavy Rail, Bus, Mix) and shows the date of data collection.diagnose
Open slide detailBeat · Problem & ComplicationLoop · Maturity Curve
09
The slide uses two different chart types to illustrate the same trend: a line chart with data labels for the initial drop and a multi-line time series chart foranalyze_data
Open slide detailBeat · Problem & ComplicationLoop · Maturity Curve
10
The slide uses a dual-axis line chart to compare transit modes against unemployment rates over a 48-month period.analyze_data
Open slide detailBeat · Problem & ComplicationLoop · Maturity Curve
11
The slide uses historical data to frame expectations for future recovery, specifically referencing the 'V-shaped' recovery model.illustrate_case
Open slide detailBeat · Problem & ComplicationLoop · Maturity Curve
12
The slide outlines considerations for modeling a COVID-19 curve.establish_context
Open slide detailBeat · Problem & ComplicationLoop · Maturity Curve
13
The slide uses a dual-column layout to present a chart on the left and qualitative assumptions on the right.analyze_data
Open slide detailBeat · Solution & Approach
14
The slide presents two distinct scenarios (Moderate vs Severe) with monthly projections from March to December 2020.analyze_data
Open slide detailBeat · Solution & Approach
15
The chart shows traffic as a percentage of base level traffic. The scenarios are based on COVID-19 containment assumptions.analyze_data
Open slide detailBeat · Solution & Approach
16
The slide compares two scenarios based on ridership percentages and revenue loss projections.analyze_data
Open slide detailBeat · Solution & Approach
17
The slide uses a dual-panel line chart to compare two scenarios (vaccine availability) across two metrics (ridership and traffic).quantify_impact
Open slide detailBeat · Solution & Approach
18
front_matter
Open slide detail
19
The slide uses a simple additive framework to distinguish between two primary revenue streams and their respective forecasting drivers.establish_context
Open slide detail
20
The slide uses a structured table to map revenue archetypes to specific calculation methodologies and applicable tax categories.present_framework
Open slide detailBeat · Evidence & Proof
21
The slide uses a structured table format to map revenue categories to analytical methods and key assumptions.present_framework
Open slide detailBeat · Evidence & Proof
22
The chart illustrates a decline in employment starting in Q1 2020, with a steeper drop by Q2 2020 and a continued gradual decline through Q4 2020.analyze_data
Open slide detailBeat · Evidence & Proof
23
The table compares MRT-1, MRT-2, and Urban tax components across the Great Recession period.analyze_data
Open slide detailBeat · Evidence & Proof
24
The slide uses a 3x3 matrix structure to categorize economic outcomes based on two axes: Virus Spread/Public Health Response and Economic Policy Response.compare_options
Open slide detailBeat · Evidence & Proof
25
The slide highlights Scenario A1 and A3 against historical benchmarks like the 73 oil shock, 81 recession, and the Global Financial Crisis.analyze_data
Open slide detailBeat · Evidence & Proof
26
The chart shows two scenarios for traffic recovery through 2020, used as a basis for tax modeling.present_framework
Open slide detailBeat · Evidence & Proof
27
The table uses parentheses to denote negative values (losses).quantify_impact
Open slide detailBeat · Evidence & Proof
28
The slide uses a table format to present qualitative assumptions and quantitative financial impacts.quantify_impact
Open slide detailBeat · Evidence & Proof
29
front_matter
Open slide detail
30
The slide compares two distinct estimation approaches with specific dollar ranges for each.present_framework
Open slide detailBeat · Impact & Next Steps
31
The slide uses a bottom-up approach to estimate COVID-19 related incremental costs for transit agencies.quantify_impact
Open slide detailBeat · Impact & Next Steps
32
front_matter
Open slide detailBeat · Impact & Next Steps
33
The slide uses parentheses to denote negative financial impacts (losses).analyze_data
Open slide detailBeat · Impact & Next StepsLoop · Cost Of Inaction
34
Includes footnotes regarding data limitations and methodology.analyze_data
Open slide detailBeat · Impact & Next StepsLoop · Cost Of Inaction
35
front_matter
Open slide detailBeat · Impact & Next StepsLoop · Cost Of Inaction
36
The slide uses a numbered list to structure the argument, moving from context (NYC economy) to specific infrastructure importance (MTA) to current crisis impactquantify_impact
Open slide detailBeat · Impact & Next StepsLoop · Cost Of Inaction
37
The slide uses two donut charts to compare market share across two metrics (ridership and revenue).compare_peers
Open slide detailBeat · Impact & Next StepsLoop · Cost Of Inaction
38
The slide uses BEA multipliers to estimate direct, indirect, and induced economic impacts.quantify_impact
Open slide detailBeat · Impact & Next StepsLoop · Cost Of Inaction