Prompt

“Customer expectations from a virtual service provider?”

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2. Execution Frequency

• Generate 100 unique customer expectation insights per prompt run.
• Run 4 times weekly to collect 400 insights weekly.

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3. Expectation Categories (for tagging)

• Responsiveness & Speed
• Reliability & Uptime
• User-friendly Interface
• Security & Privacy
• Personalization & Customization
• Transparent Pricing & Billing
• Multichannel Support
• Proactive Communication

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4. Sample Output Format

Expectation ID	Customer Expectation Insight	Category	Sentiment	Date Collected
001	“Customers expect instant responses to inquiries.”	Responsiveness	Positive	2025-06-05
002	“Reliable service with minimal downtime is critical.”	Reliability	Positive	2025-06-05
…	…	…	…	…

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5. Usage

Identify gaps and prioritize feature development.

Shape virtual service provider strategies and improvements.

Align customer service protocols with expectations.

Prompt

“Key emotional drivers influencing online course selection?”

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2. Execution Frequency

• Generate 100 unique emotional driver insights per run.
• Run 4 times weekly to produce 400 insights/week.

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3. Emotional Driver Categories (for tagging)

• Desire for Career Advancement
• Need for Flexibility & Convenience
• Fear of Missing Out (FOMO)
• Trust & Credibility of Provider
• Social Proof & Peer Influence
• Self-Improvement & Personal Growth
• Anxiety about Technology Use
• Sense of Achievement

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4. Sample Output Format

Driver ID	Emotional Driver Insight	Category	Sentiment	Date Collected
001	“Learners feel motivated by the promise of career growth.”	Career Advancement	Positive	2025-06-05
002	“Many choose courses recommended by friends or colleagues.”	Social Proof	Positive	2025-06-05
…	…	…	…	…

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5. Usage

Inform development of trust-building features on platforms.

Improve course marketing messaging and design.

Enhance learner engagement strategies.

Weekly GPT Prompt Execution Plan for Youth Purchasing Behaviour Trends 2025

1. Prompt

“Trends in youth purchasing behaviour in 2025?”

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2. Execution Frequency

• Generate 100 unique trend insights per prompt run.
• Run at least 4 times weekly for 400 insights per week.

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3. Trend Categories (for tagging)

• Digital & Mobile Commerce
• Sustainability & Ethical Consumption
• Brand Loyalty & Influencer Impact
• Payment Preferences & Methods
• Product Preferences & Categories
• Social & Cultural Influences
• Impact of Economic Factors
• Technology Adoption

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4. Sample Output Format

Trend ID	Behaviour Trend Insight	Category	Region Focus	Date Collected
001	“Youth are increasingly preferring eco-friendly and sustainable brands.”	Sustainability & Ethics	Global	2025-06-05
002	“Mobile wallets and buy-now-pay-later options are highly popular.”	Payment Preferences	Global	2025-06-05
…	…	…	…	…

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5. Usage

Support segmentation and personalization efforts.

Inform marketing strategies targeting youth.

Guide product development aligned with youth preferences.

Prompt

“How are customers perceiving digital education platforms globally?”

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2. Execution Frequency

• Generate 100 unique insights per prompt run.
• Run this prompt at least 4 times weekly for broader coverage (total 400 insights/week).

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3. Insight Categories (examples for tagging)

• User Experience & Interface
• Course Quality & Content
• Accessibility & Inclusivity
• Pricing & Value for Money
• Technical Stability & Support
• Engagement & Motivation
• Outcomes & Effectiveness
• Trust & Security

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4. Sample Output Format

Insight ID	Perception Insight	Category	Sentiment	Region / Market Focus	Date Collected
001	“Many users appreciate the flexibility of learning anytime.”	User Experience	Positive	Global	2025-06-05
002	“High dropout rates are reported due to lack of interaction.”	Engagement	Negative	Global	2025-06-05
…	…	…	…	…	…

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5. Usage

• Integrate into SayPro’s insight dashboard.
• Inform platform enhancements, marketing, and content development.
• Support regional customization and targeting strategies.

Weekly GPT Prompt Execution Plan

1. Prompt Template

“What are the most frequent consumer complaints in [industry] this month?”

• Replace [industry] with the specific sector, e.g., “telecommunications,” “retail,” “financial services,” etc.

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2. Execution Frequency

• Run 4 separate prompt instances weekly (e.g., Monday, Wednesday, Friday, Sunday), each producing 100 unique complaint insights.

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3. Data Collection & Aggregation

• Collect all 400 complaints weekly.
• Remove duplicates, group by similarity.
• Tag complaints by category (e.g., service issues, product quality, pricing, customer support).

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4. Sample Output Format

Complaint ID	Industry	Complaint Description	Category	Sentiment	Date Collected
001	Telecommunications	“Frequent dropped calls and poor network coverage.”	Service Quality	Negative	2025-06-01
002	Retail	“Delayed delivery times for online orders.”	Delivery	Negative	2025-06-01
…	…	…	…	…	…

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5. Usage

Help identify priority areas for improvement or innovation.

Feed into SayPro consumer insights database.

Use for monthly reports, consumer sentiment trackers, and departmental briefings.

SayPro Staff Research Activity Log

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1. Staff Information

Field	Input
Staff Name	[Full name]
Employee ID	[ID Number]
Department / Team	[Department or research team]
Role / Position	[Job title]
Reporting Manager	[Manager’s name]

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2. Research Activity Details

Date	Project / Task Name	Description of Activity	Hours Spent	Status (Planned/In Progress/Completed)	Remarks / Notes
[DD/MM]	[Project or task]	[Brief summary of work done]	[Hours]	[Status]	[Any important notes]
[DD/MM]
[DD/MM]

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3. Weekly / Monthly Summary

Period Covered	Total Hours Worked	Major Milestones Achieved	Challenges Faced / Support Needed
[Week/Month]	[Total hours]	[Key deliverables, milestones, findings]	[Issues encountered, requests for assistance]

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4. Sign-off

Staff Member Signature	Date	Manager’s Signature	Date

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Submission

• Submit the completed log to:
  📧 staff.researchlog@saypro.online
  or upload via SayPro Portal > Staff > Research Activity Logs

SayPro Internal Recommendation Brief

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1. Brief Title:

Clear, specific recommendation title
Example: “Enhancing Mobile Accessibility for Rural Users”

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2. Date:

[DD/MM/YYYY]

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3. Prepared By:

[Name, Role, Department]

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4. Background / Context:

Short summary of the issue or opportunity prompting this recommendation.
Example:
“Recent consumer feedback and research indicate that rural users face difficulties accessing SayPro’s mobile platform due to connectivity and UI issues.”

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5. Objective:

What this recommendation aims to achieve.
Example:
“To improve mobile accessibility and user experience for rural consumers, increasing engagement and satisfaction.”

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6. Key Findings / Insights:

Bullet points summarizing relevant research, data, or feedback.

• High dropout rates during mobile course enrollment in rural areas
• Limited availability of low-bandwidth features
• User requests for offline access options

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7. Recommendation(s):

Clear, actionable steps to address the issue or capitalize on the opportunity.

• Optimize the mobile app for low-bandwidth environments
• Develop offline content access capabilities
• Conduct user testing with rural consumer groups

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8. Expected Impact:

Describe anticipated benefits or improvements.

• Increased enrollment and course completion rates in rural regions
• Enhanced user satisfaction and retention
• Stronger community engagement and advocacy

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9. Resources / Support Needed:

List required resources, support, or collaboration.

• IT & Development team involvement
• Budget allocation for app enhancements
• Coordination with rural outreach programs

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10. Timeline:

Proposed schedule for implementation.

• Phase 1: Research & planning (Month 1)
• Phase 2: Development & testing (Months 2-3)
• Phase 3: Deployment & monitoring (Month 4)

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11. Contact for Follow-up:

[Name, email, phone]

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12. Approval / Review:

Name	Role	Date	Comments / Decisions

SayPro Consumer Response Map Template

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1. Basic Information

Field	Input
Report Title	[e.g., Consumer Response Map – Q2 2025]
Prepared By	[Name & Role]
Date	[DD/MM/YYYY]
Geographic Focus	[Region/Country]
Target Consumer Group	[Demographic/Segment]

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2. Consumer Journey Stages

Stage	Description	Key Touchpoints	Typical Consumer Responses / Feedback
Awareness	How consumers first learn about SayPro	Ads, Social Media, Word of Mouth	[Positive/Negative feedback, common questions, etc.]
Consideration	Evaluation of SayPro products/services	Website, Reviews, Peer Discussions	[Concerns, interests, comparison factors]
Purchase / Enrollment	Signing up for courses/services	Online Forms, Customer Support	[Ease/difficulty, satisfaction levels, obstacles]
Usage / Participation	Active engagement with SayPro offerings	Platform usage, Events, Support	[Experience, satisfaction, feature requests]
Advocacy	Consumers promoting SayPro	Social Shares, Testimonials	[Praise, referrals, social media mentions]

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3. Sentiment & Feedback Summary

Stage	Positive Responses (%)	Neutral (%)	Negative Responses (%)	Key Themes / Issues Raised
Awareness
Consideration
Purchase / Enrollment
Usage / Participation
Advocacy

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4. Feedback Channels

Channel	Volume of Feedback	Sentiment Distribution (P/N/Neut)	Common Topics / Issues
Online Surveys
Social Media Comments
Customer Support Logs
Focus Groups
Email / Direct Messages

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5. Actionable Insights & Recommendations

Insight / Issue	Recommended Action	Responsible Department	Priority Level	Deadline
[E.g., Confusing website navigation]	Improve UI/UX design	IT & Marketing	High	MM/DD/YY
[Lack of payment options]	Add mobile money and card payments	Finance & Tech	Medium	MM/DD/YY

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6. Additional Notes

[Insert any other observations, trends, or comments here]

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Submission

• Save and upload your completed map to:
  📧 consumer.response@saypro.online
  or via SayPro Portal > Consumer Insights > Response Maps

SayPro Monthly Sentiment Tracker

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1. Basic Info

Field	Input
Month & Year	[e.g., June 2025]
Department / Team	[e.g., SayPro Research Office]
Prepared By	[Name & Role]
Date Prepared	[DD/MM/YYYY]

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2. Sentiment Summary Overview

Sentiment Category	Number of Insights / Feedback	Percentage (%)	Key Themes / Notes
Positive	[Count]	[ % ]	[Examples of positive sentiments]
Neutral	[Count]	[ % ]	[Examples or notes]
Negative	[Count]	[ % ]	[Main concerns or issues]
Total	[Sum]	100%

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3. Sentiment Breakdown by Source

Source / Channel	Positive (%)	Neutral (%)	Negative (%)	Total Volume	Notes
GPT-Generated Insights	[ % ]	[ % ]	[ % ]	[Count]
Consumer Feedback Surveys	[ % ]	[ % ]	[ % ]	[Count]
Social Media Monitoring	[ % ]	[ % ]	[ % ]	[Count]
Internal Reports	[ % ]	[ % ]	[ % ]	[Count]

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4. Monthly Sentiment Trends

Week / Date Range	Positive (%)	Neutral (%)	Negative (%)	Major Observations / Changes
Week 1	[ % ]	[ % ]	[ % ]
Week 2	[ % ]	[ % ]	[ % ]
Week 3	[ % ]	[ % ]	[ % ]
Week 4	[ % ]	[ % ]	[ % ]

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5. Key Insights & Action Recommendations

• Insight 1: [Brief description of key sentiment insight]
  Recommended Action: [Suggested departmental or program response]
• Insight 2: [Brief description]
  Recommended Action: [Response]
• Insight 3: [Brief description]
  Recommended Action: [Response]

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6. Additional Comments

[Space for any extra notes or observations]

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Submission

• Submit the completed tracker to:
  📧 sentiment.tracker@saypro.online
  or upload via SayPro Internal Portal > Sentiment Reports

SayPro Insight Aggregation Form

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1. Basic Information

Field	Input
Insight Title	[Concise, descriptive title]
Date of Submission	[DD/MM/YYYY]
Submitted By	[Full Name & Department/Team]
Contact Email	[Email address]
Research Project/Prompt ID	[If applicable]

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2. Insight Details

Field	Input
Insight Description	[Detailed description of the insight]
Key Findings	[Brief bullet points or summary]
Source / Data Origin	[GPT prompt, survey, interview, etc.]
Supporting Data / Links	[Attach files or provide URLs]
Date Range of Data	[Period covered by data/insight]

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3. Insight Classification

Field	Input / Options
Insight Category	[e.g., Consumer Behavior, Market Trend, Policy]
Tags (SayPro Taxonomy)	[List relevant taxonomy codes]
Sentiment	[Positive / Neutral / Negative]
Priority Level	[High / Medium / Low]
Geographic Focus	[Country, Region, or Global]

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4. Actionability & Impact

Field	Input
Suggested Action	[What should SayPro or partners do based on this?]
Expected Impact	[Briefly describe the potential impact]
Responsible Department	[Who should follow up?]
Deadline for Action	[If applicable]

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5. Review & Approval

Field	Input
Reviewed By	[Name(s) & Role(s)]
Review Date	[DD/MM/YYYY]
Comments / Feedback	[Optional]
Approval Status	[Approved / Needs Revision / Rejected]

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6. Submission

• Submit completed form via:
  📧 insight.submissions@saypro.online
  or
  Upload at: SayPro Insight Submission Portal