Presents the GOOD Token. On February 5, 2018

Transcription

1 Presents the GOOD Token On February 5, 2018

2 GOOD Token Blockchain-fueled social platform for lean startup creation of concrete solutions Abstract We believe that by providing transparency and accountability we, collectively, can solve even the most complex problems. dogood does this by providing innovation management tools. To solve complex problems, dogood believes that several elements are required. 1. An economic ecosystem needs to be developed to provide incentives to identify problems and potential solutions, and the development of the best potential solutions into working, sustainable solutions. (This is built using the Ethereum-based GOOD token.) 2. Problem needs to be scoped. Scoping the problem involves defining the problem and the factors that contribute to it, so it can be broken into manageable chunks. 3. Teams with the right skills and chemistry need to be formed to address each issue. 4. The teams need the resources and/or funding to create concrete solutions. 5. There needs to be a method for the funded teams to systematically lower risk and increase the likelihood of success while providing funders with the ability to track the progress of the funded teams and provide governance. 6. Teams need a simple way to engage prospective customers or beneficiaries to gauge the effectiveness of their solutions. Therefore, dogood provides a suite of applications that provide the relevant parties with all of the above capabilities. 2

3 Contents Abstract 2 Contents 3 Vision 4 Problem Sets dogood Addresses 4 Problem Solving Philosophy 4 Our Solution 6 Platform 6 Blockchain implementation 6 Timing 17 Distribution 17 How it works 17 How to use the GOODs 17 Token dynamics and launch 17 Total supply 17 Non-inflation 18 Division of tokens 18 Pricing 19 Team 22 Advisors 25 Market & Competition 24 Compliance 26 Risks 29 Smart Contracts 29 Token Sale 29 Legal & Corporate Structure 29 References 30 3

4 Vision We exist to find solutions to complex problems and help individuals and organizations create concrete, sustainable solutions. Therefore, we are built to incentivize huge numbers of people and organizations to systematically break down complex problems, create experiments to test and identify great solutions, and provide a transparent method of building and governing organizations. We provide a modular, but pre-integrated tool set that takes large, complex problems and breaks them into manageable portions, so they can be addressed by people working together in teams to facilitate positive change. dogood and the Good Token bridge the gap between existing corporate teams and decentralized teams. Though decentralized organizations have recently cropped up, they are currently not as welltested as existing organization structures. Centralized corporate structures have been tried and tested over time, but are not without their faults. We propose a hybrid system that incorporates some decentralized governance features via voting on the blockchain. Recent legal rulings have made compliance an issue for decentralized organizations. We believe that a combination of centralization and decentralization is optimal both from a legal and logistical standpoint. Problem Sets dogood Addresses Individuals and organizations are trying to solve large, complex problems. These problems include, but are certainly not limited to the following: Climate change Efficient transportation Refugee management Electrical grid efficiency Gang violence Poverty Water shortages Caring for aging population Hunger Colonizing Mars Affordable, distributed 3D printing Memory preservation Problem Solving Philosophy No one person or organization will solve any of these problems alone. dogood enables people to connect and organize according to the issues for which they have the most passion. In addition, dogood enables these problems to be dissected and for teams to be assembled to tackle each contributing factor. To solve complex problems, dogood believes that several elements are required. 4

5 1. Scoping & Definition: The problem needs to be scoped. Scoping the problem involves defining the problem and the factors that contribute to it, so that it can be broken into manageable chunks. 2. Gaining Funding: Teams with the right skills and chemistry need to be formed to address each issue. These teams need the resources and/or funding to create concrete solutions. 3. Testing assumptions: There needs to be a method for the funded teams to systematically lower risk and increase the likelihood of success while providing funders with the ability to track the progress of the funded teams and provide governance. 4. Sharing: Teams need a forum that provides a simple way to inform funders of progress and to engage prospective customers, or, in the case of non-profits - beneficiaries, to gain feedback on the effectiveness of the products and solutions they are providing. dogood Innovation Cycle Because each of these steps are quite different and are sometimes needed in an ad-hoc manner, dogood provides a suite of applications that provide the relevant parties with all of the above capabilities. 5

6 Our Solution Platform dogood is a platform that helps people take action to effectively solve problems. It combines design thinking, open innovation, strategy frameworks, and lean start-up philosophies to give people a way of systematically breaking down problems, identifying and articulating solutions, which can be manifested into concrete projects, businesses, or non-profits. Designed to give the world a more democratic method of solving complex problems, the system enables any person or organization to do all of the following: Identify and scope the problems and solutions, Organize around problems for which they have passion and the required skills, Find the marginal capacity to create new projects or lines of business, Manage the protection of intellectual property, Raise the funds needed to execute, Manage risk by using the scientific method to quickly find processes that really work, Share insights within your organization or with the broader community, Facilitate the dialog process between funder and funded. All of the above is combined with a blockchain-based incentive and governance system that will drive the systematic identification and solution of problems at a large scale. In the process, we will uncover which problems are most important to whom and who can help to solve which ones. This data will be very valuable to organizations already immersed in addressing these issues. Blockchain implementation We will be using the Ethereum blockchain to attract and incentivize a large group of people with experience and knowledge across diverse skillsets. We plan to reward users by giving them points, which can be traded for our Ethereum-based token (GD). 6

7 To elaborate, this means that initially we will be using a hybrid of two architectural paradigms: a) a centralized client server architecture, and b) the decentralized client server architecture that uses blockchain technology. We want to play to the strengths of both architectures to make the site and system that we are creating as user friendly as possible. Since our application is designed to be used by the mass market of Internet users who expect responsive, intuitive interfaces, we need our application to perform in this same manner. In addition, the technical complexity increases dramatically when using the blockchain to perform a large number of tasks (or support a large number of desirable features) that could otherwise be performed off the blockchain without such concern. Therefore, we have taken a hybrid approach to give our users what they desire. However, once users are more familiar with blockchain, and as blockchain technologies can be used more seamlessly, it will be our goal to transition as much of our system to a decentralized blockchain architecture as possible. These points will be earned when a user an action that does any of the following: Expands the network of defined issues and solutions by creating issues and solutions with quality definitions Gain new users of dogood Complete user profiles Creates an application that expands the capabilities of the dogood platform Rates proposed solutions Funding and evaluating the proposals of project teams that to receive bounties takes apply Other methods of earning points will be added for dogood users to earn points in the future. We will implement the following token system structure. 7

8 Decentralized Quality Control How does one incentivize quality curation? One decentralized solution to maintain the quality of a list is through Token Curated Registries (TCRs). This is a system which incentivizes each curator with a custom token whose value depends on the quality of the list as determined by demand for that token. We are currently exploring this as a possibility for our system. Token System Structure for dogood Following is a description of the various elements of value that this ecosystem would provide: 1. Driving Growth of dogood: An incentive system involving the earning of points would fuel the creation and definition of issues and solutions. Points would be earned by reviewing and rating content. Users will be able to trade in points in order to get GOOD tokens from dogood. As the network grows and becomes more valuable, the value of the GOOD tokens would also gain in value. 2. Maintaining quality content: A content rating system in which dogood users earn points for rating the definitions of issues and solutions will help to keep content quality high. Points are also given if the definitions that are created have an average rating higher than X, and at least Y number of people who have rated their definitions. People are also rewarded for reporting abuse of the system. 8

9 3. Driving the creation of new solutions: GOOD can be acquired during the ICO or after the ICO via publicly available token exchanges. Teams can then compete to earn the bounty in GOOD by submitting their project as a concrete solution to that issue. a. Bounty System Description: A curator is designated for a specific set of issues. That curator can then choose to raise a bounty for an issue and promote the raising of money for that issue through social media. Once the curator configures the bounty parameters, the following steps take place: Bounty System Workflow 1. Curator posts the contests, including rating criteria for entrants. 2. People contribute to contest bounty by sending GOOD. 3. Teams are constructed. To start a team, a user would make a small payment in GOOD. 4. Teams join the curator's contest. 5. Contributors rate teams proposal submissions according to criteria that have been set-up by the curator. Currently, votes are stored as data. 6. Winning teams receive the bounty in GOOD. 7. Voters receive points. 4. Inform token holders: Token holders will be better informed about the viability of the teams from which they are about to or have already purchased tokens. 5. Lean startup guidance from stakeholders: Provide teams, whether they be blockchain projects, or off-chain businesses and nonprofits with a lean startup framework that uses stakeholders to help them via blockchain-based voting and incentive systems. 6. Enabling companies to build awareness around their solutions: People can use the GOOD tokens they have earned to purchase ad space on dogood through an advertising system. 7. Maintaining the ecosystem: In order to continually reward contributors of issue and solution definitions, new tokens will need to be able to be put into circulation. To support this without driving severe devaluation of the GOOD token, the GOOD tokens that are paid by users for advertising space would then be available to be issued to contributors of quality issue and solution definitions. Some new tokens may need to be added to the system if the rate of quality content contributions exceeds the GOOD revenue from ad sales. However, advertising rates would be adjusted to counteract this, with the goal being to maintain a 3% inflation rate per year. 9

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12 Points Points would be given to people who interact with dogood.io by creating content, issues or solutions, and by voting or validating hypotheses. These points will not be based on the blockchain. However, they can be used to pay dogood to release GOOD tokens. In addition, these points would be only for use within the dogood ecosystem. GOOD - Adding direction & incentives to the lean startup method The lean startup methodology has spent the last decade being tested by various types of organizations. This methodology was designed specifically to manage endeavors in which people are creating something new and face extreme uncertainties. Although many organizations have struggled to implement and adopt the lean startup model for various reasons (more information here), there are many examples of organizations that have used this methodology to quickly and inexpensively find working models (see some here). Vitalik Buterin said: Complicating matters, token purchasers are risking large amounts of money without a clear method of understanding teams strategies or having a method of influencing a team s direction or decision making processes. Regulation is often put in place to protect funders, but is not always implemented in a manner that still fosters innovation. This situation should create a sense of urgency within the blockchain community to demonstrate a method of self-regulation that does not stifle innovation. What people are opposed to is (i) the idea of completely new and untested development teams getting $50 million all at once, and (ii) even more importantly, the time mismatch between developers rewards and token buyers interests. In a single-round sale, the developers have only one chance to get money to build the project, and that is near the start of the development process. There is no feedback mechanism where teams are first given a small amount of money to prove themselves, and then given access to more and more capital over time as they prove themselves to be reliable and successful. During the sale, there is comparatively little information to filter between good development teams and bad ones, and once the sale is completed, the incentive to developers to keep working is relatively low compared to traditional companies. 12

13 Having several black box projects that raised $50 million fail will just make things worse. It could cause real damage to Ethereum and other currencies. However, dogood will give token purchasers the ability to have a choice between two equally competent teams building competitive solutions: One: a black box team that is looking to raise $50 million The other: a team selling tokens in rounds of $5 million that has a system in place to provide transparency for their funders, so they can track the team s progress. In this situation, token purchasers will be more likely to choose the one that helps them manage their risk. Therefore, ICO projects will be strongly encouraged to use a system that provides this visibility to the investors. Escrow The lean startup method is a way to prevent token-holders from being scammed while still providing a proven framework for rapid innovation. We provide funders with an escrow mechanism that enables those funders to release portions of the total amount raised in phases as requested by the project. 1. In an ICO white paper, a project specifies the total amount that it would like to raise, and the assumptions that will be tested during each phase. At the same time, they set-up their assumptions on dogood and assign them a phase and an amount of money needed to complete each phase. 2. The project raises, let s say, $50 million in their ICO. In their white paper they specified that they would need $10M for the first phase, and $10M for each phase thereafter. They also specify which assumptions they will test in each phase. Note: The table below shows a situation in which a vote is taking place after the first phase has been completed. Phase 1 Phase 2 Phase 3 Phase 4 Phase 5 $10 M Vote $10 M $10 M $10 M $10 M Assumption 1 Assumption 2 Assumption 3 Assumption 4 Assumption 5 3. Once the $50 million is raised, the project puts $40 million into the dogood escrow and uses the remaining $10 million to test the first set of assumptions. Note: They will do this because token purchasers want to know that progress is being made, and without this process the project would be a black box to the token purchasers. 4. As the project completes a set of assumptions or runs out of money, they can ask for the next chunk of tokens to be released to them. 13

14 5. Token holders from the XYZ initial coin offering are able to vote by registering with dogood. At this point, dogood will check the ledger and assign FUND tokens (which are used exclusively to vote on whether a round of funds in escrow should be released), commensurate with the number of XYZ tokens held by the registrant, to the token holder that are specific to voting on XYZ project. 6. Token holders can then vote on whether or not to release the next phase of funding to the project. a. If the token holders vote to release the next phase of funding to the project, the project will receive the tokens they designated for that phase. b. If token holders vote not to release the next phase of funding to the project, the project will not receive the requested set of funds. i. The project can then request a lesser sum of funds for a newly configured set of assumptions. They can do this only 3 times per round. (Three strikes as you re out.) ii. If a project fails to raise funds three consecutive times in one round, the ETH in escrow goes back to the token purchasers, and projects agree, via smart contract, before the first vote to refund token purchasers. Votes will be majority rule based on the quadratic proof of stake. Transparency & Accountability via Lean Startup Integration with Blockchain Pairing the lean startup method with smart contracts would provide funded projects with a method of receiving guidance from funders, and gaining insights about how to best construct their system/business. Providing a mechanism for funders to have visibility and influence over direction may also help alleviate pressure from regulators. We have created an online system with a new token (GD) and contract system that is attached to the various decision points within the lean startup methodology. Below is a list of the various steps that are covered in our web-based software, and the reason why pairing these steps with a blockchain component would be advantageous. We believe that using the blockchain is helpful in this process because of its unique properties in the areas of providing security and authenticity to stakeholders voting. What follows is an implementation of the lean method for organizing teams to solve a problem. Specifically, the below table shows the action model and contract type for the dogood ecosystem and GOOD token. Note that a GOOD token is given to a project in exchange for VOTE tokens, which are used to influence the direction of a project at points 1, 2, 3, and 5 listed below. These tokens can only be used within dogood. Lean Startup Steps Action Model Contract Type 14

15 1. Identify and fund the best solutions. 2. Identifying assumptions and creating experiments to determine if the assumptions are valid. 3. Agree upon success metrics 4. Incentivize experimentation 5. Pivot or Persevere 6. Distribution of insights Raise a bounty and vote for a winner by rating them on predetermined criteria The crowd identifies & upvotes assumptions and proposed experiments The crowd suggests and votes on metrics for each experiment Reverse auction: Best combination of cost & time efficiency automatically receives GOOD tokens in exchange for experiment results. Team configures voting system within dogood s framework; crowd votes for specific pivots or to persevere. Insights from experiments can be priced or offered for free in a marketplace. Quadratic Proof of Stake + Sovereign Quadratic Proof of Stake + Sovereign Quadratic Proof of Stake + Sovereign Threshold-based smart contract transaction Quadratic Proof of Stake + Sovereign Off chain Below is a list of the various steps that are covered in our web-based software, and the reason why pairing these steps with a blockchain component would be advantageous. 1. Identifying and funding the best solutions. By creating bounties for problem areas, it will become easy to see for which problems there is the greatest demand for solutions. The mechanics of this step involve using GOOD tokens to create a bounty contest. This is necessary to create a closed system (users can trust the network to enforce the code) that can t be compromised. For the same reasons, GOOD will be used to create teams that would then apply to win the bounty pool. Last, GOOD is used to pay the Curators who initiate bounties. For this reason, a portion of the GOOD tokens will be set aside for curators at the time of the ICO. The reason the Curators will be paid GOOD is to compensate them for working to promote bounties. To reward them for their success, a percentage of the tokens that are raised during the bounty will be given to the Curator. 2. Identifying assumptions and creating experiments to determine if the assumptions are valid. Figuring out how a business or system will actually work in the shortest amount of time and by using the least amount of money is of paramount importance. Teams do this by creating inexpensive experiments that can be executed quickly. These experiments validate or invalidate their assumptions. However, it is often difficult for entrepreneurs to self-regulate. They don t realize when they are even making gross assumptions or understand how best to test them. 15

16 Stakeholders can help by providing an outside perspective to identify assumptions and define experiments. 3. Agree upon success metrics. While it is also in the best interest of the project team and its funders to ensure that the bar for success is set correctly, cultural and psychological factors often drive people to want to justify assumptions, which can make adhering to lean startup difficult. Using blockchain based crowdsourcing to more accurately set the bar for success can help organizations proceed in the right direction. 4. Incentivize experimentation. A smart contract that values low cost, short timeframe experiments via a reverse auction will help teams avoid running out of capital before a sustainable method of doing business is identified (maintain as much runway as possible). 5. Pivot or Persevere. The pivot or persevere decision that arises in cases in which one or more assumptions have been shown to be invalid is complex and critical to the success of a new venture. Due to this complexity and a variety organization types and cultures, we believe that it is best to institute a configurable, weighted voting system involving proof of stake, plus a sovereign who can overrule the stakeholders. This process will help inform funders and provide teams with valuable input on their decision. In a case in which the stakeholders votes for a pivot, and the sovereign (team leader) overrules the stakeholders and perseveres, stakeholders will retain their tokens, since transfer will be contingent on accepting the stakeholder s direction. 6. Distribution of insights. New insights from experiments could be valuable to others. Therefore teams can choose to price or offer these insights for free on dogood. This activity will be off of the blockchain. Last, GOOD can be used to purchase ad space on dogood. While this is not an element that is tied to lean startup, it provides a mechanism for GOOD to be recycled into the ecosystem, so new tokens will not need to be minted to give them to dogood users who are trading points for GOOD. You may have noticed that we are introducing a new governance model. The reason for this is that dogood will have organizations that want stakeholder input, but since the vast majority of stakeholders will not be involved in the day-to-day business of the organization, the focus the stakeholder s votes is to impart influence rather than control. Therefore, after a vote takes place, the leader of the organization, or sovereign is able to take the direction of the stakeholders, or reject it and make a different decision. Nevertheless, the record of the organization is recorded on the blockchain, and potential stakeholders will know which organizations are more or less accepting of their direction. Blockchain Community: We have two requests for the blockchain community. 1. We would like your input on our governance model. Please let us know what you think of the governance model we are suggesting. 16

17 2. We would love your input and contributions on our code depositories. Lean Startup Community: Test the dogood system free of charge during our beta trial period, and provide feedback. At each decision point in the lean startup process, there is an opportunity for stakeholder interactions and smart contracts to help with decision making or to lower cost and time-to-market. In addition, using this system, token purchasers would be able to know whether or not the team and/or business behind the ICO will be able to deliver the promised results, thereby increasing token value. It is in the best interest of the blockchain community to provide an effective method of managing the risks involved in these ventures, as this could alleviate pressure for innovation-stifling regulation. Timing The product is already live and can be used by anyone at Our pre-sale will start for accredited investors on December 5, 2017 and end on December 5, The proper ICO will run from February 5, 2018 to February 25, After that GOOD tokens will be available on the exchange. Distribution How it works During ICO we will sell 100 million GOOD tokens. In addition, we will set aside 70% of the tokens to acquire and incentivize content contributors and curators. Advisors will receive 5% of the tokens, and 5% of the tokens would be given to non-profits to help them. The remaining 10% will be given to dogood team members to reward them for their hard work and dedication to the vision. How to use the GOODs Users will need GOOD tokens to: Start a bounty to solve an issue Create a team to apply for a bounty Buy advertisement on dogood.io Token dynamics and launch Total supply The initial supply will be 1 billion GOOD tokens. 10% of them will be sold during the ICO. 17

18 Non-inflation In order to maintain the value of the GOOD tokens, the supply of tokens will be limited. An initial supply of 1 billion will be generated. At the present time we do not plan to issue additional GOOD tokens. Division of tokens The initial supply for GOOD will be divided into two portions. Allocation: 10% of the initial supply will be sold to the public. Justification: A broad distribution of GOOD tokens will drive adoption and growth of the dogood network. Allocation: 70% of the initial supply will be used as incentives to develop quality content on dogood. This portion of the total supply of GOOD will be kept in cold storage. Portions of this GOOD will be released over time as the Platform is developed by curators and contributors. Justification: This pool will be used to build the network. Therefore, these tokens would be distributed to seed the creation of bounties by curators, and when users trade in points. Allocation: 5% of the initial supply will be given to non-profit organizations for use on dogood. Justification: This pool will be used to incentivize efforts to solve problems that would not normally be tackled by for-profit enterprises. Allocation: 5% of the initial supply will be allocated to advisors. Justification: This allocation is needed to reward advisors for contributions made to the development of dogood and GOOD, and to keep team member s personal incentives aligned with the success of GOOD. Allocation: 10% of the initial supply will be allocated to team members. Justification: This allocation is needed to a) reward team members for their significant contributions made to the development of dogood and GOOD, b) to keep team member s personal incentives aligned with the success of GOOD, to help ensure the continued contributions of key persons on the team will remain necessary for the foreseeable future, and c) to help to attract and hire key talent. Although we want to fairly reward our current team and provide an incentive for future hires, we are mindful of ensuring that the percentage we designate for the team is commensurate with the work-to-date and our plans going forward. In addition, we want to ensure that any token purchasers have reasonable transparency regarding the use of proceeds from our pre-sale and ICO. Therefore, we are taking the following steps: 1) We have created a META within which we have a business model canvas and kan ban chart that we will open up to those who purchase greater than 10 ETH worth of GOOD during the pre-sale or ICO. This type of META is unique to dogood, and will give these purchasers a great degree of clarity about how the proceeds are being used and dogood s ongoing progress. 2) 18

19 We will institute a voting system on the allocation for the dogood team based on delegated proof of stake, and 3) There will be a fund freeze for the first year after the ICO. Pricing In the dogood launch, 1 billion dogood tokens (GD) will be created and 10% of them will be sold through the token launch. The launch period will end when 25,000 worth of ETH of GOOD is sold, or the token sale period expires. The launch will have 6 phases. In the first phase, or presale, we will sell 4.5 million tokens with a 75 to 100% bonus. In the second phase, we will sell 17 million tokens with a 30% bonus In the third phase, we will sell 21 million tokens with a 25% discount. In the fourth phase, we will sell 21 million with a 15% bonus. In the fifth phase, we will sell 21 million with a 10% bonus. In the sixth phase, we will sell the remaining 15.5 million tokens with no bonus. Escrow To demonstrate both our system and our legitimacy, dogood will be using its own escrow system. To that end, dogood will use the first 6,500 ETH that is receives to test key assumptions about its business model. The remaining ETH it raises during the ICO will be placed in escrow. It is absurd to assume that a startup will stick exactly to a plan that was written in a whitepaper at a time prior to actually attempting to execute each item in the whitepaper. There is far too much uncertainty for startups to be able to forecast exactly which elements of their business model will work as originally planned. This is why the lean startup methodology exists, and why dogood built it into its product. So, although the below assumptions are stated below in our whitepaper, it is far better to actually go on to dogood and look at the dogood meta project page. We will be updating the business model canvas and the kan ban on a much more regular basis than this whitepaper. The business model canvas and the assumptions and experiments therein should be viewed as the plan of record, not the assumptions below. Following are the assumptions dogood believes it will be working to answer, at this point in time, with this first round of funding: Customer Segment: ICO Projects Note that the goal in this segment will be to become known as the premier provider of a transparency and accountability service in the ICO market. Value proposition: Providing ICO companies with a method of differentiating themselves by showing themselves to be legitimate businesses through a combination of lean startup transparency and an escrow system for ICO funds, will prove attractive to a substantial segment of the ICO market. 19

20 o Metric: dogood will be able to acquire at least 20 ICO projects as customers for its service. Value Proposition: The current roadmap will only require minor modifications to win ICO projects as customers. o Metric: Any Customer Relationship: We will be able to provide ICO projects with sufficient training on how to use the dogood platform via phone support, webinars, and seminars that customers will be able to successfully use dogood to provide transparency to token purchasers and use the escrow system to release of refund tokens. o Metric: At least 80% of participants will give us a 7 or higher net promoter score. Channels: ICO providers will partner with dogood to provide a comprehensive pre and post- ICO service offering, and will provide dogood with referred customers. o Metric: dogood will partner with at least one of the leading ICO service companies which will provide dogood with at least 10 ICO customers.. Channels: We will integrate with Slack, which will provide us with new users and customers. o Metric: X new users, and Y new customers Revenue: We will be able to sell the solution by pricing it based on the number of people in the company. o Metric: We are able to sell the solution to at least 20 ICO companies. Cost Structure: The most expensive resources will be developers and sales people. o Metric: Total $ spent by job description. Cost Structure: o Metric: At least 50% of the money used during this round will be spent on marketing and sales. Key Partners: Coditas will continue to perform and be able to scale with the company as development grows. o Metrics: Estimated time for completion will continue to be accurate. Bugs per development hour will decrease or hold steady. Key Partners: Marketing360 will continue to optimize our marketing ROI. o Metric: The cost of registered user acquisition will continue to decrease over time. Key Activities: Development of items on our roadmap, sales, training, and development of partnerships will be the key activities involved in serving ICO projects. o Metrics: Hours spent on the above activities as a percentage of total working hours. Customer Segment: Curators The goals in this segment are (a) to develop a sticky, enjoyable user experience for people who are interested in breaking down and articulating solutions to problems and building their brand in their area of expertise, and (b) to raise money and build projects to help solve important problems through the bounty system. Value proposition: Using the good token (GD) as a gamified incentive will expedite the creation of a network of issues and corresponding solutions. 20

21 o Metric: The network will grow at a rate comparable to Wikipedia. Value proposition: Users will engage with the TCR system, but only on a limited basis due to the complexity of the user experience. o Metric: Need a metric here. Value Proposition: The current roadmap will only require minor modifications to win ICO projects as customers. o Metric: Any Customer Relationship: We will be able to provide ICO projects with sufficient training on how to use the dogood platform via phone support, webinars, and seminars that customers will be able to successfully use dogood to provide transparency to token purchasers and use the escrow system to release of refund tokens. o Metric: At least 80% of participants will give us a 7 or higher net promoter score. Channels: ICO providers will partner with dogood to provide a comprehensive pre and post- ICO service offering, and will provide dogood with referred customers. o Metric: dogood will partner with at least one of the leading ICO service companies which will provide dogood with at least 10 ICO customers.. Channels: We will integrate with Slack, which will provide us with new users and customers. o Metric: X new users, and Y new customers Revenue: We will be able to sell the solution by pricing it based on the number of people in the company. o Metric: We are able to sell the solution to at least 20 ICO companies. Cost Structure: The most expensive resources will be developers and sales people. o Metric: Total $ spent by job description. Cost Structure: o Metric: At least 50% of the money used during this round will be spent on marketing and sales. Key Partners: Coditas will continue to perform and be able to scale with the company as development grows. o Metrics: Estimated time for completion will continue to be accurate. Bugs per development hour will decrease or hold steady. Key Partners: Marketing360 will continue to optimize our marketing ROI. o Metric: The cost of registered user acquisition will continue to decrease over time. Key Activities: Development of items on our roadmap, sales, training, and development of partnerships will be the key activities involved in serving ICO projects. o Metrics: Hours spent on the above activities as a percentage of total working hours. Will the Token Curated Registry system be effective? 21

22 o Assumption 1: Users will engage with the TCR system, but only on a limited basis due to the complexity of the user experience. To follow along with our progress, after you purchase tokens, you will be able to login at you.dogood.io and track our progress through the dogood meta project. To see our progress, go to the following links: to view our business model canvases to see our progress by assumption in the kan ban Team Adam Harriss, CEO Adam s background includes venture capital, entrepreneurship, intrapreneurship at HP, strategy, business development, and product management. During the original dot-com boom, Adam worked in venture capital, co-authoring a business plan that secured $20 M in funding. From there he moved to HP, where he co-founded the Retail Photo business as a product manager. That business displaced Kodak from Australia and won the Walmart and Tesco accounts, amongst others. Since then, he has learned php and javascript, served as a VP of business development for a mobile advertising company, and as a director of business development and a product management consultant for two different SaaS startups. Adam obtained his MBA from the Haas School of Business where he studied under Steve Blank, amongst other notable professors. Ralph Morales III, CRO Ralph's background includes corporate controllership, business development, strategic acquisitions, and global solution sales. His recent role as the Director of Innovation at HP resulted in the incubation of Wearables businesses, IoT solutions for law enforcement, education, and office markets, as well as high-end Location-Based VR entertainment. He has spent the majority of his career in corporate intrapreneurship across various markets - Rear Projection TV's, Lightscribe disc imaging, Life Science bioprinters and drug delivery solutions, photo publishing solutions, and Wearables. Ralph has an MBA from the University of Arizona, Stanford Executive Education, and has lectured for the Strategic Risk Management program at Stanford on Corporate Innovation Management. Amit Thakkar, Web Development Lead Amit is a passionate coder and experienced Team Lead. Over the last 2 years he has lead the development and engineering activities at dogood, and in doing so, he has drawn upon the last 7 years in which he's delivered and managed critical applications for 22

23 Fortune 500 companies in USA in the Agricultural Research and e-commerce verticals. He is skilled in Microsoft technologies, Sencha and Open Source Javascript frameworks such as React and NodeJS. He has a Bachelors in Computer Science and Engineering from Hyderabad, India. When he's not busy coding, He loves reading up on new tech and working on hobby projects. Nick Geoca, Blockchain Development Nick has always used technology as a conduit to make a lasting impact and recognizes the need for deep technical expertise in facilitating meaningful change. To this end, Nick pursued a BS in EE at Texas A&M with a background in system engineering. He worked at Silicon Labs for several years where he wrote Arduino library code for an in house Arduino board to help artists, designers, and hobbyists use this open source prototyping platform to create interactive objects and environments. In addition, he developed a background in a variety of programming languages, including functional/imperative programming paradigms, web-programming, cryptography, and machine learning. Over the past year, Nick has focused on blockchain technology as a method of enabling people to enact change and make meaningful contributions. Fausto Dassenno, Product Management Fausto spent the last 20 years between product and technology. He was an entrepreneur with software houses focused on mobile development in Italy and the UK. In 2011 he joined ebay in Milan as Head of Product for kijiji.it, the classified property for ebay in Italy. He was managing the product and design team of a business generating 24M in revenues. In 2105 he moved to Jobrapido as Product Director of a company generating 59M in revenues. He was managing a team of 25 ranging from product managers, designers, customer support and the whole mobile development team. In 2016 he moved to ebay Uk and he is now managing the development team of gumtree.com, the UK classified property of ebay. Harish Mohanani, Web Development Harish is a highly ambitious and professional web developer. He enjoys solving uncommon problems and making a social impact with his work. He has extensive expertise in working with NodeJS, ReactJS, MongoDB etc. Over the last 2 years he has been involved in development across the Full Stack with dogood. He has a Bachelors in Information Technology from Pune University, India. Ajit Fawade, Web Development Ajit has experience with all stages of the software development cycle and loves web technologies. He is skilled in HTML, CSS, Javascript, Java, Linux, SQL, MongoDB and enjoys working in AngularJS and ReactJS frameworks. His development experience includes web applications of various domains such as construction and manufacturing, e-commerce and health-care. He has completed a Masters of Computer Application from University of Pune. 23

24 Royal Parihar, Web Development Royal is a skilled coder and professional web developer. Over the last year he has been involved in development across the Full Stack with dogood. He is skilled in HTML5, CSS3, Javascript, Java, MongoDB and ReactJS frameworks. He has a Masters of Computer Application degree from University of Pune. Snehal Dalal, Quality Assurance Snehal has deep experience with the software development and testing life cycles and agile development. As such, she is well versed with the testing methodologies including Functional Testing, Integration Testing, Smoke, Sanity, GUI, Configuration, System Testing, Ad-hoc Testing, Regression Testing, and Compatibility Testing of web applications. She has a Bachelors in Computer Science and Engineering from Amravati University, India. 24

25 Advisors Kalle Marsal, Enterprise Advisor Kalle Marsal has over 20 years of experience in general management, business development, finance, marketing, corporate strategy and acquisitions. Kalle is the Chief Operating Officer at Mitek (NASDAQ: MITK), responsible for sales, marketing, business operations, and strategy. He previously served as Vice President of Product Management for HP s Inkjet Printing Business. Prior to that, Kalle held several different positions at HP, including management functions for both domestic and international operations and was instrumental in building a retail and cloud services business for consumer printing. Before joining HP, Kalle was a wireless technology focused general manager and venture capital executive. He started his career as a management consultant at Bain & Co. Kalle holds B.S. and M.S. degrees in Industrial Engineering, both from Stanford University, and has an MBA from Stanford University s Graduate School of Business, where he was honored as an Arjay Miller Scholar. Rez Khan, Blockchain Development Advisor Rez sees the current combination of cryptography and trustless blockchain networks as a societal game-changer. He has spent the last year writing fundraising smart contracts for ethereum blockchain. He has always been interested in foundational frameworks. He is a duly published author in the field of brain imaging where he spent years as a researcher developing new models to predict brain activation. He then worked as a data scientist developing machine learning models in a cybersecurity context. Originally, he studied computational physics, in which he holds a PhD from the University of Texas at Austin. In his free time he provides training and education in mindfulness to software developers. Vivienne Lee, Non-Profit Advisor Vivienne Lee brings deep expertise with over 19 years of experience working in both the nonprofit and philanthropic sectors. Having built a strong foundation in strategy development, program and initiative design and development, and organizational coaching, Vivienne is well versed in assessing challenges, identifying solutions, and providing implementation frameworks in which to execute with impact. Most recently, Vivienne led REDF s expansion strategy, building partnerships, and creating pilot programs that serve as models as REDF scales a social enterprise ecosystem nation-wide. Prior to joining REDF as a Principle Consultant, Strategic Partnerships, Vivienne led Citibank s community development efforts. She earned a Master s Degree in City Planning from MIT and attended Occidental College. In addition, Vivienne serves on the Board of Directors of the Little Tokyo Service Center Community Development Corporation and the Skid Row Housing Trust. 25

26 Market and Competition dogood plays across many markets including collaboration software, social media, and big data, but the two markets that are most applicable to its early stage solution are knowledge management and innovation management software. The knowledge management software market is growing from $16.7 to $29.4 billion in 2022, a 12% CAGR. The innovation management software category is forecasted to grow from $422 million to $1.5 billion in by 2022, a 29% CAGR. dogood s Market Size and Growth Rate Knowledge Management Software Innovation Management Software 2017 (Millions) $16,700 $ (Millions) $29,400 $1,519 CAGR 12% 29% Sources: Market Research Future, Markets and Markets Just as there was already human resources software before LinkedIn started, these market categories already exist and there are successful businesses. dogood plans to disrupt this category in much the same way that LinkedIn disrupted the human resources software market. We are focusing first on building our network of innovators with a social platform. However, we adding the power of blockchain tokens as an incentive system to grow our network quickly. We have several ways in which we plan on differentiating ourselves from the competition, see below. dogood s Competitive Differentiation by Feature Functionality that is New to the Market Above Industry Standard Ideal Alignment Mechanism Collaborative Problem Visualization Social Engagement Rewards system Openness Funder : Funded Oversight Only dogood provides a curated problem-solution idea management system using token curated registries which provide a gamified method of gaining alignment around ideas. Only dogood has a drag and drop root cause visualization system built into its platform. dogood is a social network with Facebook sharing and Twitter integration. dogood provides a blockchain token-based, curated incentive system with voting, an escrow system, and a gamified user experience. dogood's wiki is free to use. Users only need to register on the site. Only paying users can create a private network. dogood provides a method for funders to view and provide feedback and oversight of the progress that funded projects are making. 26

27 Meets the bar for market acceptance Reduced capabilities below industry standard Lean Startup Knowledge Management Big Data Potential Open API's Customization Evaluation Workflow Reporting Professional Services Project Management Collaboration Capabilities dogood provides a lean startup system of buildling new projects complete with tracked assumptions, risk scores, associated hypotheses and experiments, and pivot perservere decisions that can be shared within an organization or with the entire dogood community. Due to dogood's problem-solution framework, nearly any information related to an innovation process can be added, stored, and easily accessed through the system. Since dogood is completely open and powered by a token-based incentive system, we believe it will gather a large amount of aggregate data that can be mined, but would maintain anonymity of data. dogood plans to integrate with various productivity, marketing, and testing software to better accomodate its clients' natural workflow processes. Although this will be an emphasis for dogood's early customers, our aim is to accomodate as many customer workflows by integrating with other software the firms use to accomplish the other tasks that are a part of their workflows. dogood provides an evaluation workflow process that ties to the wiki and can be configured to handle various steps and methods of evaluating the merit of potential solutions. Although dogood provides some reporting, it does not provide reporting for all of the data that is housed in its platform. Rather, it will partner with companies that specialize in business intelligence. dogood plans to provide professional services to its early customers to ensure that the product is designed for customers to fall in love, but plans to exit the professional services market and train management consultants to use the software in the long run. dogood's focus is not on detailed project management. Instead it is focused on the process of testing the business model required to create something new. dogood plans to integrate with dominant collaborative tools such as Slack and Telegram. It will not create these tools itself. Below is a table that shows how dogood plans to differentiate itself from the competition. 27