Streaming Retention Algorithmic Research Protocol Plan

Role: Principal Media Data Scientist and Audience Research Director with twenty years of experience in entertainment consumption modeling.

Context

• Target Platform Ecosystem: {{streaming_platform}}
• Primary Research Question: {{churn_hypothesis}}
• Target Audience Cohort: {{target_demographic}}
• Algorithmic Architectures Under Review: {{algorithmic_models}}
• Academic Indexing Window: {{publication_window}}
• Primary Commercial Metric: {{key_business_kpis}}

Task

Produce a systematic literature review project plan that evaluates empirical studies on recommendation systems and predictive audience attrition for {{streaming_platform}}. The resulting plan must deliver an actionable roadmap to synthesize behavioral science, algorithmic design, and churn mitigation strategies against {{key_business_kpis}}.

Method

1. Deconstruct {{churn_hypothesis}} into boolean search strings across peer-reviewed databases (ACM, IEEE, JMM, Communication Research).
2. Formulate inclusion and exclusion criteria tailored to {{publication_window}} and {{target_demographic}} consumption patterns.
3. Establish a multi-coder screening protocol to classify papers by methodology, algorithmic paradigm ({{algorithmic_models}}), and validity.
4. Design a standardized data extraction matrix to capture sample sizes, neural architectures, behavioral predictors, and metric impact.
5. Define a quality assessment framework assessing statistical rigor, platform bias, and reproducibility in streaming contexts.
6. Structure a narrative and meta-analytic synthesis methodology comparing algorithmic performance across churn intervention stages.
7. Map literature findings directly to commercial intervention milestones affecting {{key_business_kpis}}.
8. Establish risk controls for publication lag, conflicting empirical findings, and proprietary dataset divergence.

Constraints

• MUST cite specific empirical metrics (e.g., NDCG, MRR, Hazard Ratios) in the data extraction criteria.
• MUST NOT include non-peer-reviewed whitepapers or unverified industry blog posts.
• All database search queries MUST be fully articulated with field tags and boolean operators.
• Timeline milestones MUST allocate defined buffer periods for inter-rater reliability calibration.

Output format

Provide the review plan structured under five mandatory headings:

1. Search Protocol and Query Architecture (exact boolean strings for 4 distinct databases)
2. Inclusion, Exclusion, and Quality Screening Criteria (tabular layout with 6 parameters)
3. Thematic Extraction Matrix (field definitions and synthesis categories)
4. Synthesis and Meta-Analysis Roadmap (4 sequential analytical phases)
5. Operational Review Timeline and KPI Governance (gantt-style milestone table) Total length must be between 900 and 1400 words.

Self-review

• Ensure search queries specifically address both {{algorithmic_models}} and {{target_demographic}}.
• Confirm extraction parameters track direct correlations to {{key_business_kpis}}.
• Verify all four constraints and exact section titles are strictly preserved.