October 2021
Many organizations are looking for a digital solution to help address common workplace challenges: more remote workers, higher workloads/capacity constraints, and increased customer and colleague demands. The solution must deliver high-quality experiences both for end users and makers. Microsoft Power Virtual Agents empowers everyone to create intelligent conversational bots to seamlessly build secure and scalable virtual agents that help drive efficiencies throughout an organization’s business processes.
As digital interaction plays an increasingly important role in customer and employee support experiences, organizations must find ways to ensure that these interactions are of the highest quality. Previous efforts to build out virtual agents produced products that had limited capabilities and caused more harm than good to their customers.1 A 2021 Forrester report found that 54% of US online consumers responding to Forrester consumer energy surveys expected interactions with customer service chatbots to negatively affect their quality of life.2 Finding the correct solutions to help manage virtual interactions while providing an improved customer experience is key to long-term success for organizations.
Microsoft commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Microsoft Power Virtual Agents (PVA).3
Power Virtual Agents empowers everyone to create intelligent conversational bots — from citizen developers to business users to professional developers — to seamlessly build secure and scalable virtual agents in an integrated building platform.
From simple FAQs to complex conversational requirements, organizations can accelerate bot building with an intuitive world-class designer to respond to both customer and employee needs. Users can extend bots with multilingual, multimodal, and multichannel experiences — all in the cloud — alleviating concerns about managing the underlying infrastructure. AI self-learning features and analytics allow continuous improvement to the bot without users needing to lift a finger.
Native integration with other Microsoft tools, including Microsoft Teams, Dynamics 365 Customer Service, and the Power Platform, allows efficiency gains from anywhere. PVA is built on the Microsoft Bot Framework and enables developers to accelerate time-to-value with familiar tools like Microsoft Bot Framework Composer and Azure Cognitive Services. PVA supports fusion development throughout organizations.
The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of Power Virtual Agents on their organizations.
To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed five customers with experience using PVA. For the purposes of this study, Forrester aggregated the experiences of the interviewed customers and combined the results into a single composite organization.
Prior to using PVA, customers relied on highly manual workflows or simple chatbots to respond to internal and external support tickets. This often led to overwhelmed support employees, long response times for even the most basic questions, and eroded faith in the ability of chatbots to help make significant business improvements.
After the investment in Power Virtual Agents, the interviewed organizations were able to automate portions of their internal and external support workflows with their bots, avoid the need to supplement support teams with additional employees, and drive fusion development workflows between subject matter experts (SMEs) and development teams. As a result, the organizations could provide a more satisfactory customer experience while maintaining a continually updated and helpful virtual agent.
Quantified projected benefits. Risk-adjusted present value (PV) quantified benefits include:
Interviewees described a major benefit of using PVA was its ability to automate responses to many internal inquiries. Employees no longer needed to wait on human agents to help them address simple questions, and support staff were not bogged down by simple or repeat questions — reducing the number of tickets they addressed by as much as 66%. Over three years, this reduction in tickets led to nearly $489,000 in savings.
Many of the interviewees also noted that by connecting PVA with their customer-facing website, they were able to reduce the time that their customer service reps spent on individual customer inquiries. Their organizations were able to streamline customer support interactions by using PVA to offload many of customers’ initial questions. This often led to faster calls for service reps or eliminated customer calls entirely, delivering an additional $521,000 in savings over three years.
Organizations were able to meet increased demands without having to hire and train additional customer support representatives. The interviewees shared that they have seen unprecedented volume of internal and external support tickets since the beginning of the COVID-19 pandemic. Investing in PVA allowed them to deflect customer support calls from human agents and avoid hiring additional human agents to handle increases in inquiries. This amounted to a cost savings of more than $1 million over a three-year period.
Customers that had previously relied on chatbots often found that they required significant manual effort to build and maintain. These customers relied on IT to build the agents, leading to delays in the development process as these projects were not always a high priority for IT teams. With PVA, the line-of-business owners had the tools to own aspects of the bot-development lifecycle.
Through partnership between business owners and developers during the building process, customers benefited from synergies and better communication to develop higher-quality virtual agents and drastically reduced development timelines. Additionally, interviewees were able to automate portions of bot maintenance through use of the provided analytics dashboard, which drove further efficiencies. This benefit led to nearly $149,000 in savings over three years.
Unquantified benefits. Benefits that are not quantified for this study include:
Customers who interacted with the Microsoft Power Virtual Agents resolved their inquires 50% faster, leading to a more positive customer experience. This has lasting effects on customer loyalty and could lead to increases in many key customer metrics such as NPS and CSAT.4
Interviewees highlighted how integrating PVA with their existing Microsoft products as well as prebuilt integrations with other third-party vendors allowed them to increase the insights provided by the solution. This in turn allowed them to build more complex virtual agents and drive further efficiencies across their organizations.
Costs. Risk-adjusted PV costs include:
Interviewees paid an annual fee for the Power Virtual Agents solution.
The interviewees said that their organizations dedicated an average of 64 hours to implement Microsoft PVA. The organizations also dedicated individuals to manage the day-to-day operations of the platform.
The customer interviews and financial analysis found that a composite organization experiences benefits of $2.16 million over three years versus costs of $600,000, adding up to a net present value (NPV) of $1.57 million` and an ROI of 261%.
The objective of the framework is to identify the cost, benefit, flexibility, and risk factors that affect the investment decision. Forrester took a multistep approach to evaluate the impact that Power Virtual Agents can have on an organization.
Interviewed Microsoft stakeholders and Forrester analysts to gather data relative to Power Virtual Agents.
Interviewed five decision-makers at organizations using Power Virtual Agents to obtain data with respect to costs, benefits, and risks.
Designed a composite organization based on characteristics of the interviewed organizations.
Constructed a financial model representative of the interviews using the TEI methodology and risk-adjusted the financial model based on issues and concerns of the interviewed organizations.
Employed four fundamental elements of TEI in modeling the investment impact: benefits, costs, flexibility, and risks. Given the increasing sophistication of ROI analyses related to IT investments, Forrester’s TEI methodology provides a complete picture of the total economic impact of purchase decisions. Please see Appendix A for additional information on the TEI methodology.
Readers should be aware of the following:
This study is commissioned by Microsoft and delivered by Forrester Consulting. It is not meant to be used as a competitive analysis.
Forrester makes no assumptions as to the potential ROI that other organizations will receive. Forrester strongly advises that readers use their own estimates within the framework provided in the study to determine the appropriateness of an investment in Power Virtual Agents.
Microsoft reviewed and provided feedback to Forrester, but Forrester maintains editorial control over the study and its findings and does not accept changes to the study that contradict Forrester’s findings or obscure the meaning of the study.
Microsoft provided the customer names for the interviews but did not participate in the interviews.
Interviewee | Industry | Region | Revenue |
---|---|---|---|
Supervisor of business intelligence and innovation | Energy infrastructure | Global | $2.5 billion |
Project architect of IT | Professional sports | United States | $460 million |
Chatbot development engineer | Transportation | Europe | $200 million |
Senior manager of end-user experience | Transportation | Canada | $3.8 billion |
Manager of customer support team | Technology hardware | Global | $56 billion |
The interviewed decision-makers stated that prior to investing in Microsoft PVA, they relied on highly manual workflows to address internal and external support tickets. IM, email, and phone calls were the predominate forms of communication. Some organizations had deployed chatbots but found that these legacy solutions were both difficult to build and could not handle more advanced questions. The interviewed organizations struggled with several common challenges, including:
The customer interviewees stated that digital interactions with their organizations became a requirement as the COVID-19 pandemic drove unprecedented demand. Organizations also needed a way to quickly respond to repeat questions and enable their support representatives to handle more-pressing inquiries. As the project architect of IT in the professional sports industry detailed: “Our phone lines needed to be transferred remotely — our ability to service people became far more digital. So when people couldn’t find information online, we needed a new avenue for them to get to that information.”
Previous attempts to build or use chatbots left line-of-business owners with little to no insight into what questions customers asked or how they were asking. This greatly limited their ability to update the bots to include questions that mattered to their customers, limiting the effectiveness of these solutions.
Based on the interviews, Forrester constructed a TEI framework, a composite company, and an ROI analysis that illustrates the areas financially affected. The composite organization is representative of the five companies that Forrester interviewed and is used to present the aggregate financial analysis in the next section. The composite organization has the following characteristics:
The composite is a global, multibillion-dollar organization with approximately 5,000 employees and a support team of 100 members. Prior to investing in PVA, the organization had deployed a simple bot to help manage incoming customer support inquiries. All internal support tickets were submitted via email or instant messaging.
The organization builds two virtual agents with PVA. The first is used internally to help employees quickly locate and access documents. This agent sees an average of 91,000 annual interactions. The second is a customer-facing virtual agent that fields common customer questions, with 65,000 annual interactions. As the organization matures in its use of PVA, it is able to expand the deployment of the virtual agents to more complex use cases.
Ref. | Benefit | Year 1 | Year 2 | Year 3 | Total | Present Value |
---|---|---|---|---|---|---|
Atr | Time savings for internal tickets | $196,628 | $196,628 | $196,628 | $589,885 | $488,985 |
Btr | Time savings for customer-facing tickets | $209,625 | $209,625 | $209,625 | $628,875 | $521,306 |
Ctr | Avoided additional headcount | $275,400 | $413,100 | $550,800 | $1,239,300 | $1,005,593 |
Dtr | Reduced effort to build and maintain virtual agents | $59,892 | $59,892 | $59,892 | $179,677 | $148,944 |
Total benefits (risk-adjusted) | $741,546 | $879,246 | $1,016,946 | $2,637,737 | $2,164,828 |
The interviewed organizations all had various workflows designed to handle and resolve internal support tickets. Typically, these tickets involved requests for documents, questions related to employee benefits, or other general-knowledge questions that were tedious to answer. Legacy workflows often required an employee to manually respond to each incoming ticket. These efforts proved to be time-consuming for both the employee who made the inquiry and the support agent responding to it.
With PVA, the interviewees were able to deploy a virtual agent across their internal communications channels that could automate or supplement a response to these internal inquiries. This allowed the support employees to redirect their priorities to more-pressing business concerns and eliminated the time that employees spent waiting for answers. PVA has the added benefit of driving increased accuracy during these interactions.
As the supervisor of business intelligence and innovation for an energy infrastructure firm described: “The person with the question no longer has to wait for a human to respond. Similarly, the person who would be answering the question no longer has to have their inbox flooded with all of these repetitive questions, and they can focus on higher-value work. We have also seen an increase in accuracy with our responses as we have built centralized responses that have been reviewed and approved internally.”
For the composite organization, Forrester assumes:
The following risks may affect this benefit category:
To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of nearly $489,000.
Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | ||
---|---|---|---|---|---|---|---|
A1 | Number of employees processing internal tickets prior to using Microsoft PVA | Assumption | 35 | 35 | 35 | ||
A2 | Number of internal tickets daily | Assumption | 10 | 10 | 10 | ||
A3 | Number of internal tickets processed annually | A1*A2*260 | 91,000 | 91,000 | 91,000 | ||
A4 | Reduction in internal tickets with Microsoft PVA | A1*A2*260 | 67% | 67% | 67% | ||
A5 | Average time to process an internal ticket (minutes) | Interviews | 5 | 5 | 5 | ||
A6 | Hourly salary of employees handling internal tickets | Payscale.com | $43 | $43 | $43 | ||
At | Time savings for internal tickets | (A3*A4*A5*A6)/60 | $218,476 | $218,476 | $218,476 | ||
Risk adjustment | ↓10% | ||||||
Atr | Time savings for internal tickets (risk-adjusted) | $196,628 | $196,628 | $196,628 | |||
Three-year total: $589,885 | Three-year present value: $488,985 | ||||||
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In addition to efficiencies associated with internal support tickets, the interviewed organizations also noted that deploying Microsoft PVA to customer support use cases allowed them to drive additional time savings.
Several of the interviewees used PVA to complement their existing customer support workflows to streamline processes and remove tedious steps. PVA enabled customers to complete simple tasks (such as refilling a transit card or renewing a ticket) and could serve as a screening device to ensure that customers were quickly funneled to the correct representatives. This reduced the time that customer support representatives spent addressing menial tasks and even enabled them to reduce the number of tickets they responded to.
The interviewees saw these efficiencies as a means of improving customer interactions with their organizations. As the project architect of IT in the professional sports industry described: “It’s given our customers an opportunity to connect with us. I think it just gives more options, while at the same time allowing us to communicate information more effectively. We are acting more efficiently, and our satisfaction rates show that.”
For the composite organization, Forrester assumes
Established customer support workflows will affect the total number of inquiries PVA affects and the total impact it can have on an organization.
To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV of more than $521,000.
Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | ||
---|---|---|---|---|---|---|---|
B1 | Number of employees processing customer inquiries prior to using Microsoft PVA | Assumption | 50 | 50 | 50 | ||
B2 | Number of customer inquiries daily | Assumption | 5 | 5 | 5 | ||
B3 | Number of customer inquiries processed per year | B1*B2*260 | 65,000 | 65,000 | 65,000 | ||
B4 | Reduction in time spent on internal tickets with Microsoft PVA | Interviews | 50% | 50% | 50% | ||
B5 | Time to process a customer-facing ticket (minutes) | Interviews | 10 | 10 | 10 | ||
B6 | Hourly salary of employees handling internal tickets | Payscale.com | $43 | $43 | $43 | ||
Bt | Time savings for customer-facing tickets | (B3*B4*B5*B6)/60 | $232,917 | $232,917 | $232,917 | ||
Risk adjustment | ↓10% | ||||||
Btr | Time savings for customer-facing tickets (risk-adjusted) | $209,625 | $209,625 | $209,625 | |||
Three-year total: $628,875 | Three-year present value: $521,306 | ||||||
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All the interviewed organizations saw increased interaction with remote support services as a result of the COVID-19 pandemic. Online interaction became the main way internal and external parties attempted to find answers for their questions.
In legacy workflows, this increase in interaction would require organizations to invest in additional resources. However, the interviewees stated they were able to avoid making this investment by investing in PVA. Expanding and adapting the capabilities of the virtual agents allowed the interviewed organizations to create further efficiencies in their support inquiry processes. Additionally, as the organizations became more mature on the platform, they were able to use the analytic capabilities inherent to the agents to refine support workflows and expand to additional content. As one interviewee noted. “PVA has prevented us from having to hire more folks. Previously our staff were bogged down with a mountain of support tickets. PVA allows those folks to continue focusing on their projects that are more fundamental to our future strategy.”
This section explains how the modeling is done.
The following risks may affect this benefit category:
To account for these risks, Forrester adjusted this benefit downward by 15%, yielding a three-year, risk-adjusted total PV of $1,005,593.
Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | ||
---|---|---|---|---|---|---|---|
C1 | Additional headcount needed to handle increased customer service questions | Interviews | 4 | 6 | 6 | ||
C2 | Cost to hire new employees | Assumption | $81,000 | $81,000 | $81,000 | ||
Ct | Avoided additional headcount | C1*C2 | $324,000 | $486,000 | $648,000 | ||
Risk adjustment | ↓15% | ||||||
Ctr | Avoided additional headcount (risk-adjusted) | $275,400 | $413,100 | $550,800 | |||
Three-year total: $1,239,300 | Three-year present value: $1,005,593 | ||||||
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Interviewees who had attempted to build their own chatbots (either through competitive solutions or homegrown workflows) found that this required highly skilled individuals to spend significant time building out the virtual agents. These initiatives were not always seen as a priority for IT teams, often causing delays in agent production process.
Additionally, line-of-business owners who maintained the virtual agents found that doing so was cumbersome and tedious. As a chatbot development engineer at a transportation organization virtual agent explained: “Previously, updating our virtual agent was much more laborious. You would have to anticipate customer questions beforehand, and it was not [as] big of a natural language-processing component like we have in PVA. You had to really work to collect questions from customers, and sometimes questions were asked in a way that we didn’t anticipate, which would cause significant issues.”
Turning to a fusion development model with PVA, line-of-business owners can reclaim parts of virtual agent creation, maintenance, and governance. Development teams and line-of-business representatives could work in tandem to produce high-quality agents that were more effective and useful than previous bots. The project architect of IT at a professional sports organization described this by saying: “We had someone in the guest experience team who is not technically savvy and does not know any programming languages [for] designing conversations and building bots. It is low-code for conversation maintenance and keyword detection, so that’s been a big benefit here.”
Based on customer interviews, Forrester estimates the following for the composite organization:
The extent to which companies have attempted to use virtual agents previously and how reliant they are on developers to complete these workflows will affect this benefit.
To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV of almost $149,000.
Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | ||
---|---|---|---|---|---|---|---|
D1 | Employees involved in virtual agents’ construction prior to investing in Microsoft PVA | Interviews | 8 | 8 | 8 | ||
D2 | Hours spent building virtual agents | Interviews | 24 | 24 | 24 | ||
D3 | Hourly salary for employees involved in building virtual agents | Payscale.com | $57 | $57 | $57 | ||
D4 | Cost to build virtual agents prior to investing in Microsoft PVA | D1*D2*D3 | $10,944 | $10,944 | $10,944 | ||
D5 | Employees involved in virtual agents’ management prior to investing in Microsoft PVA | Interviews | 35 | 35 | 35 | ||
D6 | Hours spent maintaining virtual agents (monthly) | Interviews | 4 | 4 | 4 | ||
D7 | Hourly salary of employees involved in virtual agents’ maintenance | Payscale.com | $43 | $43 | $43 | ||
D8 | Cost to maintain virtual agents prior to investing in Microsoft PVA | D5*D6*D7*12 | $72,240 | $72,240 | $72,240 | ||
D9 | Reduction in cost to build virtual agents with Microsoft PVA | Interviews | 80% | 80% | 80% | ||
Dt | Reduced effort to build and maintain virtual agents | (D4+D8)*D9 | $66,547 | $66,547 | $66,547 | ||
Risk adjustment | ↓10% | ||||||
Dtr | Reduced effort to build and maintain virtual agents (risk-adjusted) | $59,892 | $59,892 | $59,892 | |||
Three-year total: $179,677 | Three-year present value: $148,944 | ||||||
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Additional benefits that customers experienced but were not able to quantify include:
As previously mentioned, customers who interacted with the Microsoft Power Virtual Agents resolved their inquires faster, leading to a more positive customer experience. This has lasting effects on customer loyalty and could lead to increased customer lifetime value, higher Net Promoter Scores, and other customer-centric metrics.
The interviewed organizations also highlighted how integrating PVA with their existing Microsoft products increased the insights the solution provides. Many of the interviewees connected PVA with the Microsoft Power Platform to collect deeper insight into the various interactions with their PVA agents and improve these agents. As the project architect of IT for a professional sports organization described: “You can be very low-code still, but perhaps people more mathematically inclined can look for insight into how the real-language aspect works in order to improve our bot design. The Power Platform can help us see where customers are stuck or what questions they ask the bot [that] we don’t have answers to.”
Interviewees also highlighted that integrating PVA with Microsoft Teams for internal use was a way to drive user adoption and increase interaction with their tool across their organizations.
The value of flexibility is unique to each customer. There are multiple scenarios in which a customer might implement Power Virtual Agents and later realize additional uses and business opportunities, including:
The interviewees saw further integration with their customer-facing sites as an area of future benefit that could drive additional revenue. Building more advanced virtual agents with the capability of aiding customers in making repeat purchases or renewing annual memberships could allow these organizations to recognize revenue faster and potentially increase retention among their customers.
The interviewees also sought to increase the complexity of the questions handled by their virtual agents. As these organizations mature on the PVA deployments, they believe they would be able to automate response to more complex questions, which would increase the efficiencies they have been seeing across customer and internal workflows.
Lastly, the interviewees saw integrations with mobile devices as a way to drive adoption for internal use cases and an opportunity to reach more customers. As the project architect of IT for a professional sports organization explained, “PVA has the ability to integrate with our mobile app provider, and we see offering PVA on our mobile app as a very useful troubleshooting tool.”
Flexibility would also be quantified when evaluated as part of a specific project (described in more detail in Appendix A).
Ref. | Cost | Initial | Year 1 | Year 2 | Year 3 | Total | Present Value |
---|---|---|---|---|---|---|---|
Etr | License and subscription cost | $0 | $210,000 | $210,000 | $210,000 | $630,000 | $522,239 |
Ftr | Implementation and management costs | $20,160 | $22,982 | $22,982 | $22,982 | $89,107 | $77,314 |
Total costs (risk-adjusted) | $20,160 | $232,982 | $232,982 | $232,982 | $719,107 | $599,553 |
The composite organization pays an annual fee to Microsoft for use of the Power Virtual Agents platform and specific features. The price of this will vary on an organizational basis, and the cost is determined by myriad factors including the number of sessions addressed by the agents.
Based on customer interviews, Forrester estimates that the composite organization pays an annual fee of $200,000 for use of the platform.
Individual organizations will pay varying amounts for their use of PVA and should contact a Microsoft representative for specific details.
To account for these risks, Forrester adjusted this cost upward by 5%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $522,000.
Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 | |
---|---|---|---|---|---|---|---|
E1 | PVA license and subscription cost | E1 | $200,000 | $200,000 | $200,000 | ||
Et | License and subscription cost | E1 | $0 | $200,000 | $200,000 | $200,000 | |
Risk adjustment | ↑5% | ||||||
Etr | License and subscription cost (risk-adjusted) | $0 | $210,000 | $210,000 | $210,000 | ||
Three-year total: $630,000 | Three-year present value: $522,239 | ||||||
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The interviewed organizations saw indirect costs for internal labor to deploy and manage Microsoft PVA.
This cost is representative of the time spent planning and executing the PVA implementation, as well as the time spent managing the virtual agents.
Interviewees noted that ongoing management was typically minimal and only required a small percentage of employee time. These employees would spend time onboarding and training new users, communicating with their Microsoft representatives, and planning for and executing platform upgrades.
For the composite organization, Forrester assumes:
Management and implementation will vary depending on each organization’s internal processes regarding vendor onboarding.
To account for these risks, Forrester adjusted this cost upward by 5%, yielding a three-year, risk-adjusted total PV of $77,000.
Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 | |
---|---|---|---|---|---|---|---|
F1 | Number of resources involved in PVA planning and implementation | Interviews | 4 | ||||
F2 | Total time spent planning for and implementing PVA (hours) | Interviews | 64 | ||||
F3 | Hourly salary of employees involved in planning and implementation | Payscale.com | $75 | ||||
F4 | Subtotal: cost to implement PVA | F1*F2*F3 | $19,200 | ||||
F5 | Number of employees involved in managing PVA | Interviews | 4 | 4 | 4 | ||
F6 | Monthly time spent managing PVA (hours) | Interviews | 8 | 8 | 8 | ||
F7 | Yearly time spent managing PVA (hours) | F6*12 | 96 | 96 | 96 | ||
F8 | Hourly salary of employees involved in management | Payscale.com | $57 | $57 | $57 | ||
F9 | Subtotal: management costs | F5*F7*F8 | $21,888 | $21,888 | $21,888 | ||
Ft | Implementation and management costs | F4+F9 | $19,200 | $21,888 | $21,888 | $21,888 | |
Risk adjustment | ↑5% | ||||||
Ftr | Implementation and management costs (risk-adjusted) | $20,160 | $22,982 | $22,982 | $22,982 | ||
Three-year total: $89,107 | Three-year present value: $77,314 | ||||||
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These risk-adjusted ROI, NPV, and payback period values are determined by applying risk-adjustment factors to the unadjusted results in each Benefit and Cost section.
Initial | Year 1 | Year 2 | Year 3 | Total | Present Value | |
---|---|---|---|---|---|---|
Total costs | ($20,160) | ($232,982) | ($232,982) | ($232,982) | ($719,107) | ($599,553) |
Total benefits | $0 | $741,546 | $879,246 | $1,016,946 | $2,637,737 | $2,164,828 |
Net benefits | ($20,160) | $508,563 | $646,263 | $783,963 | $1,918,630 | $1,565,275 |
ROI | 261% | |||||
Payback period (months) | <6 | |||||
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The financial results calculated in the Benefits and Costs sections can be used to determine the ROI, NPV, and payback period for the composite organization’s investment. Forrester assumes a yearly discount rate of 10% for this analysis.
Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists vendors in communicating the value proposition of their products and services to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of IT initiatives to both senior management and other key business stakeholders.
Benefits represent the value delivered to the business by the product. The TEI methodology places equal weight on the measure of benefits and the measure of costs, allowing for a full examination of the effect of the technology on the entire organization.
Costs consider all expenses necessary to deliver the proposed value, or benefits, of the product. The cost category within TEI captures incremental costs over the existing environment for ongoing costs associated with the solution.
Flexibility represents the strategic value that can be obtained for some future additional investment building on top of the initial investment already made. Having the ability to capture that benefit has a PV that can be estimated.
Risks measure the uncertainty of benefit and cost estimates given: 1) the likelihood that estimates will meet original projections and 2) the likelihood that estimates will be tracked over time. TEI risk factors are based on “triangular distribution.”
The initial investment column contains costs incurred at “time 0” or at the beginning of Year 1 that are not discounted. All other cash flows are discounted using the discount rate at the end of the year. PV calculations are calculated for each total cost and benefit estimate. NPV calculations in the summary tables are the sum of the initial investment and the discounted cash flows in each year. Sums and present value calculations of the Total Benefits, Total Costs, and Cash Flow tables may not exactly add up, as some rounding may occur.
1 For the purpose of this study, “virtual agents” can be used interchangeably with other popular terms such as “chatbots,” “conversational AI,” and “virtual assistants.”
2 Source: “Best Practices For Help Desk Chatbot Success,” Forrester Research, Inc., March 29, 2021.
3 Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists vendors in communicating the value proposition of their products and services to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of IT initiatives to both senior management and other key business stakeholders.
4 Net Promoter, NPS, and the NPS-related emoticons are registered U.S. trademarks, and Net Promoter Score and Net Promoter System are service marks, of Bain & Company, Inc., Satmetrix Systems, Inc. and Fred Reichheld.