Skills › Scientific Agent Skills › market-research-reports › market_sizing_scenarios_template.json
market_sizing_scenarios_template.json
129 lines · skills/market-research-reports/assets/market_sizing_scenarios_template.json at 5f2bc03
1{
2 "schema_version": "1.0",
3 "metadata": {
4 "market_id": "synthetic-widget-services",
5 "market_definition": "Annual end-customer spend on the synthetic service in Exampleland",
6 "geography": "Exampleland",
7 "currency": "USD",
8 "base_year": 2025,
9 "price_basis": "nominal",
10 "unit": "USD per year",
11 "taxonomy": "EXAMPLE-INDUSTRY",
12 "taxonomy_version": "2026",
13 "denominator_id": "annual-end-customer-spend",
14 "as_of_date": "2026-07-23"
15 },
16 "top_down": {
17 "components": [
18 {
19 "component_id": "enterprise-spend",
20 "coverage_key": "enterprise-customers",
21 "denominator_id": "annual-end-customer-spend",
22 "value": 60000000,
23 "source_ids": [
24 "S-001",
25 "S-002"
26 ],
27 "assumption_ids": [
28 "A-PRICE-001"
29 ]
30 },
31 {
32 "component_id": "small-business-spend",
33 "coverage_key": "small-business-customers",
34 "denominator_id": "annual-end-customer-spend",
35 "value": 40000000,
36 "source_ids": [
37 "S-001",
38 "S-002"
39 ],
40 "assumption_ids": [
41 "A-PRICE-002"
42 ]
43 }
44 ]
45 },
46 "bottom_up": {
47 "components": [
48 {
49 "component_id": "enterprise-build",
50 "coverage_key": "enterprise-customers",
51 "denominator_id": "annual-end-customer-spend",
52 "customer_count": 1000,
53 "annual_quantity_per_customer": 10,
54 "price_per_unit": 6000,
55 "addressable_fraction": 0.8,
56 "source_ids": [
57 "S-001",
58 "S-002"
59 ],
60 "assumption_ids": [
61 "A-PRICE-001",
62 "A-ADDRESSABLE-001"
63 ]
64 },
65 {
66 "component_id": "small-business-build",
67 "coverage_key": "small-business-customers",
68 "denominator_id": "annual-end-customer-spend",
69 "customer_count": 10000,
70 "annual_quantity_per_customer": 2,
71 "price_per_unit": 2000,
72 "addressable_fraction": 0.9,
73 "source_ids": [
74 "S-001",
75 "S-002"
76 ],
77 "assumption_ids": [
78 "A-PRICE-002",
79 "A-ADDRESSABLE-002"
80 ]
81 }
82 ]
83 },
84 "scenarios": [
85 {
86 "scenario_id": "downside",
87 "label": "Downside",
88 "serviceable_fraction": 0.35,
89 "obtainable_share": 0.02,
90 "source_ids": [
91 "S-001",
92 "S-002"
93 ],
94 "assumptions": [
95 "Narrow channel reach",
96 "Slow customer adoption"
97 ]
98 },
99 {
100 "scenario_id": "base",
101 "label": "Base",
102 "serviceable_fraction": 0.5,
103 "obtainable_share": 0.05,
104 "source_ids": [
105 "S-001",
106 "S-002"
107 ],
108 "assumptions": [
109 "Planned channel reach",
110 "Observed synthetic adoption benchmark"
111 ]
112 },
113 {
114 "scenario_id": "upside",
115 "label": "Upside",
116 "serviceable_fraction": 0.65,
117 "obtainable_share": 0.08,
118 "source_ids": [
119 "S-001",
120 "S-002"
121 ],
122 "assumptions": [
123 "Broader channel reach",
124 "Faster adoption without denominator expansion"
125 ]
126 }
127 ],
128 "reconciliation_tolerance_percent": 20
129}