DOC 715 Week 8 Phase 2 Foundation Example

Reviewed by Davina Cresswell, MBA · University of Phoenix · Updated

This DOC 715 Week 8 example assembles the foundation a doctoral learner carries into the next phase of the dissertation, a compact document that states every core component and shows they are aligned, defended and feasible. University of Phoenix DOC 715 closes with the Phase 2 foundation in Week 8, and DOC/715 asks DBA learners to integrate the problem, purpose, questions, framework, methodology, design, sample, access and feasibility work of the seminar and to identify what remains before the full proposal. It belongs to an invented software executive whose dissertation tests whether early human guidance keeps small firms subscribed. The paper presents each component in final form, summarizes the evidence for key choices, lists open items with owners and dates and reflects on how the study changed during the seminar.

CourseDOC 715 Doctoral Seminar I (DOC/715)
Week8
Paper typeDoctoral dissertation foundation document
Lengthabout 1,158 words, 4 double-spaced pages plus title page and references
FormatAPA 7 student paper
SchoolUniversity of Phoenix
ProgramDBA
UpdatedOctober 2026

Free sample paper for DOC 715 Week 8

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Ready for the Next Phase: A Dissertation Foundation on Proactive Onboarding and Retention

[Student Name]

University of Phoenix

DOC/715: Doctoral Seminar I

Week 8 Assignment

[Instructor Name]

[Date]

The learner, the company, its customers and all figures are composites written for a model paper.

What this part is doingThe title signals readiness and names the study in one line.
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This foundation gathers the seminar's work for the fictional Hill Country Software leader's dissertation. It is written for a reader new to the study and refers to earlier assignments for the detailed reasoning behind each choice.

Problem

Early cancellation is a costly pattern for software sold by subscription to small firms. Nearly a third of Hill Country Software's small service business customers, 31 percent, leave before their first anniversary, and their departures remove roughly $1.8 million from recurring revenue annually. Research on retention management has argued that firms should target interventions by their effect on customers, not only by predicted risk, and has asked for proof of which interventions help which customers (Ascarza et al., 2018). Customer success management, in which firms proactively help customers realize value, has spread rapidly while research on its effects lags (Hochstein et al., 2020). No study has yet shown whether manager-led onboarding keeps small-business customers through year one, or which of them it helps.

Purpose

In final form, the study will use a quantitative quasi-experimental design to examine whether small service businesses that received manager-led onboarding after subscribing between 2023 and mid-2025 kept their subscriptions and adopted features at different rates from comparable businesses that received automated onboarding, and whether any retention difference depends on business size.

Research Questions and Hypotheses

RQ1 asks whether guided customers are more likely to still be subscribed at twelve months once group differences are accounted for; H1 predicts they are. RQ2 asks whether guided customers adopt more of the eight core features in their first quarter; H2 says they will. RQ3 asks whether the retention association differs by size; H3 predicts a stronger association for businesses with one to four employees.

Framework

The framework joins two ideas. From customer success practice: proactive guidance helps customers realize value from a product, which sustains the subscription. From research on small-business technology adoption: very small firms lack internal capacity to learn new systems, so external guidance should matter more for them. Feature adoption is the expected pathway from guidance to retention.

What this part is doingStating the framework in two sentences shows exactly which hypothesis each idea supports.
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Methodology and Design

A pragmatic stance led to a quantitative methodology, because the questions concern associations across thousands of customers. Randomization was not possible. Austin (2011) describes how propensity score methods reduce confounding from observed covariates in observational studies and recommends checking balance after matching. The design matches each onboarded customer to a similar automated-only customer on pre-signup characteristics, assesses balance before outcomes are examined, analyzes outcomes with standard errors clustered by manager, tests sensitivity to unmeasured confounding and checks results with a difference-in-differences analysis of a 2024 regional expansion.

Population, Sample and Access

The frame is about 12,000 eligible accounts; matching should yield about 3,600 pairs, giving ample power for RQ1 and RQ2 and moderate power for RQ3. Site permission and a data use agreement are signed; an analyst outside the learner's team will extract de-identified records; no group smaller than 20 accounts will be reported.

Feasibility and Scope

An eighteen-month timeline from proposal defense includes a design checkpoint before outcomes are released and three months of buffer. Skills gaps in matching are being addressed through a course and a methodologist on the committee. Key risks, a system migration and a possible acquisition, are mitigated by early extraction and a permission clause. Delimitations: one company, small service businesses, 2023 to mid-2025, a defined onboarding measure, two outcomes and existing records.

The study grew smaller and stronger in eight weeks: one firm, one practice, two outcomes and a comparison the committee can inspect before anyone sees the results.

Key Decisions and Their Reasons

Five decisions shaped the study, and each has a short rationale a committee member can check. Quantitative rather than qualitative: the questions concern size and spread of an association over a large customer base. Quasi-experimental rather than randomized: the company would not withhold onboarding on request. Matching rather than regression alone: matching shows whether comparable groups exist and can be inspected before outcomes are known. Full frame rather than a sample: more potential comparisons yield closer matches. Records rather than surveys: records cover every customer, including those who cancel and rarely answer surveys.

What the Study Will Contribute

For the company, the results will show whether manager-led onboarding is worth its cost and whether it should be targeted at the smallest businesses. For other firms selling to small businesses, the study offers an approach to evaluating customer success programs with their own records. For research, it adds an effect estimate where the customer success literature has been largely descriptive and extends retention research to small-business customers, a group rarely studied.

Alignment Summary

The problem names an unknown effect in a defined population; the purpose and questions address that effect, a mechanism and a targeting question; the framework supports each hypothesis; the design addresses the central threat of selection; the data contain every variable; the analyses match each question.

Remaining Work

Literature review chapter, synthesizing retention, customer success and small-business adoption research: learner, due in DOC 723.

Detailed methods chapter with the propensity model specification and analysis code outline: learner with methodologist, due in two months.

Pre-registered analysis plan filed with the committee: learner, before data extraction.

Ethics board submission: learner with chair, after the methods chapter.

Proposal defense: scheduled after ethics submission.

What this part is doingAssigning owners and dates turns remaining work into a plan rather than a wish list.
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Questions the Committee May Still Ask

The learner anticipates three. Will the company's leaders accept a null result? The permission letter and conversations with the chief operating officer address this. Can matching handle the customers who were almost always onboarded? The overlap analysis will show how many are excluded, and findings will be described for the matched population. Is twelve months long enough? Most churn occurs in the first year, and a longer window would shrink the sample; a supplementary analysis of eighteen-month retention for the earliest cohort will show whether patterns persist.

How the Literature Review Will Build on This

The foundation names the bodies of research the literature review must synthesize: customer retention and lifetime value, customer success management and service onboarding and technology adoption in small businesses. The review in DOC 723 will search each systematically, evaluate study quality and identify where the evidence is strong, thin or conflicting, positioning the study's contribution precisely.

Reflection

The study began as a complaint about customers who "don't use the software enough" and a plan to "design a solution." The seminar narrowed it to a testable question about one practice, removed a causal claim the design could not support, added theory for a hypothesis that had none, caught a clustering problem in the data and cut two tempting additions. Each change made the study smaller and more defensible.

Conclusion

The foundation presents a coherent, defended and feasible dissertation: an evidenced problem, aligned purpose and questions, a framework, a quasi-experimental design with safeguards, an accessible sample and a realistic plan. The remaining work is defined and scheduled for the next phase.

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References

Ascarza, E., Neslin, S. A., Netzer, O., Anderson, Z., Fader, P. S., Gupta, S., Hardie, B. G. S., Lemmens, A., Libai, B., Neal, D., Provost, F., & Schrift, R. (2018). In pursuit of enhanced customer retention management: Review, key issues, and future directions. Customer Needs and Solutions, 5(1-2), 65-81. https://doi.org/10.1007/s40547-017-0080-0

Austin, P. C. (2011). An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behavioral Research, 46(3), 399-424. https://doi.org/10.1080/00273171.2011.568786

Hochstein, B., Rangarajan, D., Mehta, N., & Kocher, D. (2020). An industry/academic perspective on customer success management. Journal of Service Research, 23(1), 3-7. https://doi.org/10.1177/1094670519896422

What the DOC 715 Week 8 instructions ask

The closing DOC 715 assignment asks doctoral learners to assemble the foundation for the next phase of their dissertation. Requirements usually include final versions of the problem statement, purpose, research questions and hypotheses, the theoretical or conceptual framework, methodology and design with brief justification, population, sample and access, feasibility and scope and a plan for the remaining proposal work. Certain versions add a seminar reflection or a one-page committee summary. Integrate the revised components from each week, make sure terms and decisions agree throughout, cite the methods and topic sources behind each choice in APA and present the foundation concisely enough that a new committee member could understand the study quickly.

How this DOC 715 Week 8 example is built

Our worked foundation presents the final problem, early loss of small service business customers with research showing retention management lacks evidence on which interventions work for whom, and a purpose naming a quasi-experimental design. Three questions with hypotheses follow, then a framework joining customer success practice and small-business resource limits. Propensity score matching, defended with an applied introduction to the method, compares about 3,600 matched pairs from company records under a data use agreement. Feasibility, scope and risks are summarized. Open items include the literature review, ethics submission and a pre-registered analysis plan, each with an owner and date. A closing reflection traces how the study narrowed and strengthened over eight weeks.

DOC 715 Week 8 grading rubric: where the points go

Doctoral graders reward foundation documents that are complete, consistent and concise. Strong papers present each component in final form, show alignment and summarize the reasoning behind key decisions without repeating every argument. Credit goes to identifying remaining work with clear plans, to consistent terminology and to evidence that weekly revisions were carried through the whole document. Graders also value a thoughtful reflection on how the study developed, a list of remaining tasks with owners and dates and writing that a committee member joining late could follow without reading every earlier assignment. Methodological and topical sources cited in APA support a strong foundation.

DOC 715 Week 8 help: mistakes to avoid

Foundation papers often paste weekly assignments together without updating earlier ones to reflect later changes. Read the whole document and reconcile it line by line. Another frequent gap is excessive length; summarize the reasoning and cite earlier work rather than repeating it. Learners also leave remaining tasks vague, such as "finish the literature review" with no date. Give each a scope, owner and date. Some papers omit the framework or treat it as an afterthought; it must explain the hypotheses. Finally, write for a reader new to the study, such as a committee member joining late in the process. Check every number against its source. A tutor can help you condense a semester's work into a clear foundation.

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DOC 715 Week 8 questions, answered

What does DOC 715 Week 8 usually cover?

It usually covers assembling the dissertation foundation: final problem, purpose, questions, framework, methodology, design, sample, access, feasibility and remaining tasks.

Where can I find a free DOC 715 Week 8 sample paper?

The DOC 715 Week 8 dissertation foundation on onboarding and retention is above, complete and free.

What should a dissertation foundation document include?

The core components in final form, evidence that they align, a summary of key justifications and a plan for the remaining proposal work.

How long should a foundation document be?

Long enough to state every component clearly, often 10 to 20 pages, with earlier detailed work referenced rather than repeated.

What happens after the foundation is complete?

Learners typically complete the literature review, finalize the methods chapter, obtain ethics approval and defend the proposal.

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