politik inn nyu 2015
TRANSCRIPT
Politik Inn-- A platform to connect the masses with the local politicians
Total # of interviews : 52Initial interviews: 10Day 1: Users -18Day2: Users -7 ,Politicians - 1Day 3: Users - 2 ,Influencers - 3 Day 4: Users - 5 , Politicians - 1Day 5: Users: 5,Politician (over phone) - 1
Aditya KariappaAsli EhlizNatalia PastranaMohar Chakrabarty
Business Canvas: DAY 1Problem Solution Key Value Proposition Unfair Advantage Customer Segment/User Types
1) No central repository to know and connect to our local politicians.2) Low interest from masses in politics.
1) Create a dynamic repository (updated by users consistently) of related content for the political eco system.2) Increase engagement and interactions between voters and politician.3) Connect the entire political eco system.
1) Will increase transparency2) Will reduce corruption3) Will connect politicians with the mass4) Politicians can in turn use this for their campaign and voter research
1) Blue Ocean: No major competitors as of now.
1) For the millennial and Gen X2) Politically active people3) Two sided market: For the entire political eco system such as Politicians at all levelsVoters/Common PeoplePolitical PartiesPoliticians who contested and lost Political scientistsJournalist/reporters specialized on politicspublic policy makers/decision makersMacroeconomistsProfessors/Experts/Authors related to this field
Key Metrics Channels
1) No. of politicians who signed up2) Site traffic3) No. of users4) Engagement metrics (comments/likes, etc)
1) Own WebPages and mobile apps along with datacenters.2) Will be integrated with all leading social media channelsand digital newspapers
Cost Structure Revenue Streams
-- IT Costs-- Labor Costs-- Floor Space (Office Costs)-- Advertisement Costs
AdvertisingLocal (Pay Per Click)
Sponsored Ads (Pay Per Click)Brand Advertising
Display Ads (Pay Per Click)Banner Ads (Pay Per Click)Sponsored Ads (Pay Per Click)
High price for expert, extreme and analogous users (Political Journalist, Public policy makers, Professors, academicians)Price for no advertisements• Resale of data (APIs, Email, mobile ads )• Retargeted Ads• Tiered pricing • Partnerships• % of donations (Pay for Performance)• Subscription Model
Top 5 Riskiest Assumptions for Day2
• There is a need (pain points) for this kind of a platform• Users would like to have this kind of a platform. Do
they actually see some kind of a value proposition from a platform like this
• The end users will use this product• When end users will use this product, politicians will
use this product• Influencers sees some value proposition from this kind
of a platform
Business Canvas: DAY 2Problem Solution Key Value Proposition Unfair Advantage Customer Segment/User Types
1) No central repository to know and connect to our local politicians.2) Low interest from masses in politics.
1) Create a dynamic repository (updated by users consistently) of related content for the political eco system.2) Increase engagement and interactions between voters and politician.3) Connect the entire political eco system.
- ) Will increase transparency2) Will reduce corruption3) Will connect politicians with the mass4) Politicians can in turn use this for their campaign and voter research
A space where their voices could be heard by local elected authorities.
1) Blue Ocean: No major competitors as of now.
Users- CLASSIFIED BY DEMOGRAPHIC ATTRIBUTES
1) Age- 18- 65 2) Living in Brooklyn, Manhattan or NJ3) Student, working part time or full time
Key Metrics Channels
1) No. of politicians who signed up2) Site traffic3) No. of users4) Engagement metrics (comments/likes, etc)
1) Own WebPages and mobile apps along with datacenters.2) Will be integrated with all leading social media channelsand digital newspapers
Cost Structure Revenue Streams
-- IT Costs-- Labor Costs-- Floor Space (Office Costs)-- Advertisement Costs
AdvertisingLocal (Pay Per Click)
Sponsored Ads (Pay Per Click)Brand Advertising
Display Ads (Pay Per Click)Banner Ads (Pay Per Click)Sponsored Ads (Pay Per Click)
High price for expert, extreme and analogous users (Political Journalist, Public policy makers, Professors, academicians)Price for no advertisements• Resale of data (APIs, Email, mobile ads )• Retargeted Ads• Tiered pricing • Partnerships• % of donations (Pay for Performance)• Subscription Model
Risky Assumptions for Day3• People who are tech savvy, 18-25 year old will
be interested in connecting politicians online• People would like to express their thoughts
irrespective of whether they like or dislike politicians
• People in NYC are interested in politics and they like to address issues for the community
• Politicians care about the issues of the common masses
Business Canvas: DAY 3Problem Solution Key Value Proposition Unfair Advantage Customer Segment/User Types
1) No central repository to know and connect to our local politicians.2) Low interest from masses in politics.
1) Create a dynamic repository (updated by users consistently) of related content for the political eco system.2) Increase engagement and interactions between voters and politician.3) Connect the entire political eco system.
1) Will increase transparency2) Will reduce corruption3) Will connect politicians with the masses4) Politicians can in turn use this for their campaign and voter research
1) Blue Ocean: No major competitors as of now.
ConsumersMaleAge 45+Live in NYCRegistered voter but stopped votingInterest in politicsConcern about safety (crime), cleaning and housing issues
Key Metrics Channels
1) No. of politicians who signed up2) Site traffic3) No. of users4) Engagement metrics (comments/likes, etc)
1) Own WebPages and mobile apps along with datacenters.2) Will be integrated with all leading social media channelsand digital newspapers
Cost Structure Revenue Streams
-- IT Costs-- Labor Costs-- Floor Space (Office Costs)-- Advertisement Costs
AdvertisingLocal (Pay Per Click)
Sponsored Ads (Pay Per Click)Brand Advertising
Display Ads (Pay Per Click)Banner Ads (Pay Per Click)Sponsored Ads (Pay Per Click)
High price for expert, extreme and analogous users (Political Journalist, Public policy makers, Professors, academicians)Price for no advertisements• Resale of data (APIs, Email, mobile ads )• Retargeted Ads• Tiered pricing • Partnerships• % of donations (Pay for Performance)• Subscription Model
Work Flow for Community Issues
Mayor
Town Clerk
Committees
Community Service Team
Constituent Representative
Chief Of Staff Mayor Secretary
Risky Assumptions for Day 4
• Target customer profile will be interested in communicating with politicians if there is a platform that they can address the housing issues
• This platform will reduce the time to delegate those issues to Councils
• The Chief of Staff is the person who is in charge to solve the citizens main concerns
District Council
Letter
Response Time Test
+1 day, No response
1 day, No response
Webpage- format
1 day, No Response
1day,No posting unless he is connected1 day, Same Day NYC District Council but still waiting for response from authority
No Response Yet
Business Canvas: DAY 4Key Partners Key Activities Key Value Proposition Customer
RelationshipsCustomer Segment/User Types
• Political Journalist• Early Adopters• Mayors• Chief of Staff• Director of Community Services
•. Development of the platform• Marketing and Advertising•Gathering the data the mayors and chief of staff and related the authorities regarding the housing issues
• Enable the users to communicate their pain point about housing issues directly to the politicians with a quicker response time
• Empower the users, so their collective voices will be heard by the related authorities
• Trust the platform• Community Manager• Retentive
ConsumerMaleAge 45+Live in New York Metro AreaRegistered voter but stopped votingInterest in politicsContinuous struggle with housing issues
Key Resources Channels
• IT people• Marketing people• Contact information of the mayors and chief of the staff and related authorities
• iOS App
Cost Structure Revenue Streams
•IT Costs•Labor Costs•Floor Space (Office Costs)•Advertisement Costs
• Freemium
Target Customer Profile • Male• Age 45+• Low Income• Live in New York Metro Area• Registered voter but stopped voting• Interest in politics• Continuous struggle with housing issues“We don’t trust politicians”. “It doesn’t matter what we think”!!!!
Two Routes
Politik Inn
Enterprise Software
Internet Based
Test: Interview Town Clerks, Chief of StaffPass: 1 out of 5 say Y
Test: People with housing and ask if they would ratePass: 1 out of 5 say Y
Target Customer Segment: “We don’t trust politicians”. “It doesn’t matter what we think”!!!!Journalist1: “Politicians should consider their voters like customers”.Journalist2: “ Politicians have a narcissistic complex. They want to be liked by all”.
Business Canvas DAY 5 : Test1Key Partners Key Activities Key Value Proposition Customer Relationships Customer Segment/User Types
• Town Clerk• Mayors• Chief of Staff• Director of Community Services
•. Development of the software• Marketing and Advertising
• Enable the users to communicate their pain point about housing issues directly to the politicians with a quicker response time
• Empower the users, so their collective voices will be heard by the related authorities
• Prioritizing the housing issues (affordable housing and lease problems) for the chief of staff
•Relationship with Town Clerk & Chief of Staff
ConsumersMaleAge 45+Live in New York Metro AreaRegistered voter but stopped votingInterest in politicsContinuous struggle with housing issues
UserTown Clerk
BuyerChief of StaffKey Resources Channels
• IT people• Marketing people
• Direct Sales of Software Products
Cost Structure Revenue Streams
•IT Costs•Labor Costs•Floor Space (Office Costs)•Advertisement Costs
• Licensing (up sell on Analytics)
Our Initial Idea
Voters/Common People Elected Politicians
Non - Elected Politicians
Entire political eco
system
Political Parties
Political ScientistPolitical Journalist
Public policy MakerMacroeconomistProfessors/Experts/Authors
Do they care? Hell Yeah!!
Day1
Day5
So we Pivoted (Politik Inn Electifi)
•From a multi sided platform to a User Generated /Long Tail Model
•From eBay of politics to Yelp for Politics
Business Canvas DAY 5 : Test 2 Key Partners Key Activities Key Value Proposition Customer
RelationshipsCustomer Segment/User Types
• Political Journalist• Early Adopters• Mayors• Chief of Staff• Director of Community Services
•. Development of the platform• Marketing and Advertising•Gathering the data the mayors and chief of staff and related the authorities regarding the housing issues
• Enable the users to communicate their pain points about housing issues collectively
• Empower the users, so their collective voices will be heard by the related authorities
• Collectively address the issues• Community Manager• Retentive
ConsumerMaleAge 45+Live in New York Metro AreaRegistered voter but stopped votingInterest in politicsContinuous struggle with housing issues
Key Resources Channels
• IT people• Marketing people• Contact information of the mayors and chief of the staff and related authorities
• iOS App
Cost Structure Revenue Streams
•IT Costs•Labor Costs•Floor Space (Office Costs)•Advertisement Costs
• Free for consumers•Ad based Revenue
Proposed Use Case 1000 ppl
Does not take action
Automated Notifications
When politicians do not respond notifications goes to rate themGet
Rated
Political Journalists picks it up
Goes Vocal
Picture
Mayors
STOP STRUGGLINGTAKE ACTION
Mockups (1)
Mockups (2)
Mockups (3)
Petal Diagram Non- Direct Competitors
Closest Competitors
SubstitutesAllies
The local town website
Features
• FunctionalOnline user friendly platform to dynamically prioritize the issues of the local masses.
• EmotionalUsers feel that their voices are being heard and their pain points are being addressedUsers feel that they are part of a community
• Social The power shifts from politicians to users
Market Size
OurOpportunity
200K
Total Potential Market400K
Total Market Size10 M
Total Available MarketNo of iPhone users in US: 63MTotal population of US: 300 MPopulation of tri-state area: 20 MRatio: 0.067iPhone users in the tri-state area = 4.2 MPeople with housing issues= 400K
Realistic Market (Users): 200K
Source: http://www.statista.com/statistics/232790/forecast-of-apple-users-in-the-us/; https://www.google.com/webhp?sourceid=chrome-instant&ion=1&espv=2&ie=UTF-8#q=population+of+us
Has an Inbuilt Potential to Scale
Back-Up
The Math