Dribble

Welcome to the Dribble simulation.

Scenario for progestin medication in Russia

Start by defining your scenario paramters, market size, numbe of players and paths.

Parameters
  • Market size has been set to 198116
  • Players have been Defined
  • Demand Share has been defined
  • Paths have not been defined
  • Enablers have not been defined
Decisions
Edit Decisions for Physicians
Edit Decisions for Pharmacy
Edit Decisions for Advertising
Edit Decisions for Education
Initialize Round 0
Create Round 0
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Scenario Settings

Create a new Scenario

Scenario Name

Number of Players

Number of Rounds

Player A

Player B

Player C

Paths

Path Physician 1 name

Path Physician 2 name

Path Physician 3 name

Path Pharmacy name

Path Self Consumption name

Save

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Markets and Share Parameters

Scenario Parameters

Market

Market Volume in '000 SU

Market Influencers

Price Sensitivity

Impact of Education

Maximum Impact of Education

Sustainability of Education

Players
Round 0 Parameters

Demand Share

Gross Price

COGS

Other SG&A

Freight and Distribution R&D

Player A Round 0
Player B Round 0
Player C Round 0
Save

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Physicians Path

Define Characteristics of Physicians Path. This screen would appear maximum 3 times (maximum number of Physicians). Each physician path has two enablers (ethical sales force and Events). Each enabler has its own nature of demand.

All Physicians - Ethical Sales Force

Weight of Ethical Sales Force

Minimum Attrition Rate

Maximum Attrition Rate

Round 0 Attrition Rate

Weight of Demand Share in Attrition

Weight of Salary in Effectiveness

Weight of Bonus in Effectiveness

Weight of Training in Effectiveness

Weight of New Headcount

Weight of Replacement Headcount

Weight of Sensitivity

Weight of Quality

Physician 1

Parameters

Weight in Demand

Ethical Sales Force

Events

Player A

= Weight of Ethical Sales Force * Weight in Demand

= 1 - Weight of Ethical Sales Force * Weight in Demand

Player B

= Weight of Ethical Sales Force * Weight in Demand

= 1 - Weight of Ethical Sales Force * Weight in Demand

Player C

= Weight of Ethical Sales Force * Weight in Demand

= 1 - Weight of Ethical Sales Force * Weight in Demand

Ethical Sales Force

Parameters

Nature of Demand

Round 1
Round 2

Concentration Curve - Measured Volume

% HC to capacity needed to cover 50% of Demand

Parameters

Capacity Limit (HC)

Round 1
Round 2
Round 3
Round 4

% of Demand at 50% of capacity

Parameters

Sensitivity

Round 1

Player A

Player B

Round 2

Player A

Player B

Round 3

Player A

Player B

Round 4

Player A

Player B

Events

Budget needed to cover 50% of Demand

Round 0 multiplier for maximum demand

Parameters

Nature of Demand

Round 1
Round 2

Impact of Players' decisions

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Pharmacy

Pharmacy path is key in the market. It has multiple enablers: a sales trade force and multiple discounts that may be used to influence the pharmacist decision to deliver the drug. This is also in the pharmacy that takes placeholder the battle for protecting demand generated or for taking some from competitors.
Nature of demand is, here, impacting directly the path, whatever the enabler.

Parameters

Weight in Demand

Player A
Player B
Player C

Impact of Players' decisions

Trade Sales Force

Parameters

Capacity Limit (HC)

Round 1
Round 2
Round 3
Round 4

% of Demand at 50% of capacity

Pharmacy Channel Investment

% of Demand at 50% of capacity

Round 0 multiplier for maximum demand

Pharmacy Activation

% of Demand at 50% of capacity

Round 0 multiplier for maximum demand

Save

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Self Consumption

Depanding on the nature of the product, consumers may decide to buy drugs themselves.
Nature of demand is set at path level. Each enabler will get the same nature of demand value.
Sensitivity is set per period and could get a numerical value directly (instead of a level through a drop down)

Parameters

Weight in Demand

Player A
Player B
Player C

Impact of Players' decisions

% of Demand at 50% of capacity

Round 0 multiplier for maximum demand

Parameters

Nature of Demand

Round 1
Round 2
Paths Weights

Sensitivity

Player A

Round 1


Round 2


Player B

Round 1


Round 2


Share Physicians 1

Player A

Player B

Player C

Player D

Player E

Round -3
Round -2
Round -1
Share Physicians 2

Player A

Player B

Player C

Player D

Player E

Round -3
Round -2
Round -1
Share Physicians 3

Player A

Player B

Player C

Player D

Player E

Round -3
Round -2
Round -1
Parameters

Sensitivity

Round 1

Player A

Player B

Round 2

Player A

Player B

Round 3

Player A

Player B

Round 4

Player A

Player B

Save

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Summary and Vulnerability

Double Check Paths weights and define vulnerability percentage before generating Round 0

Parameters

Physician 1 Weight in Demand

Physician 2 Weight in Demand

Physician 3 Weight in Demand

Pharmacy Weight in Demand

Self Consumed Weight in Demand

Total

Player A

100%

Player B

100%

Player C

100%

Vulnerability

Physician 1 Vulnerability

Physician 2 Vulnerability

Physician 3 Vulnerability

Pharmacy Vulnerability

Self Consumed Vulnerability

Player A
Player B
Player C
Demand Generated

Physician 1

Physician 2

Physician 3

Pharmacy

Self Consumed

Player A

30%*50%*198116

-

-

-

-

Player B

-

-

-

-

-

Player C

-

-

-

-

-

Save

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