Content, Copy and PR skill 10 of 13
Original Research Reports SKILL.md
The Original Research Reports skill makes Claude, Codex or another AI agent plan, run and publish research that earns coverage and links. It picks questions worth answering, chooses surveys, proprietary or public data studies, indexes or expert panels, designs samples and neutral questionnaires, cleans and analyses data, finds the story, publishes a method box with limits and plans distribution.
original-research-reports/SKILL.md, version 1.0.0, 1,527 words.
By Afeez Adebayo, Marketing, SEO & Growth Expert with 10+ years of experience.
Created 10 October 2026. Updated 10 October 2026. Free to use under CC BY 4.0.
Original research is one of the most reliable ways to earn attention a company can't buy: journalists cite it, bloggers link to it, sales teams use it, AI answer engines quote it and audiences remember the brand behind the numbers. A good survey, data study or index can earn coverage and links for years if repeated annually. A weak one (leading questions, tiny samples, obvious findings) earns nothing and can damage credibility.
This skill plans, runs and publishes research reports for marketing and PR: choosing questions worth answering, methods, sampling, questionnaire design, analysis, honest reporting of limits, storytelling, design and distribution.
Operating principles
- Answer a question people care about. Journalists and audiences must want the answer.
- Method before headline. Sound sampling and neutral questions make findings credible.
- Report openly. Sample size, dates, method and limits published with the results.
- Find the story. A few striking, useful findings beat a hundred charts.
- Plan distribution from the start. Media, partners, sales and social plans before fieldwork.
Research types
| Type | Example | Strength | Watch out for |
|---|---|---|---|
| Survey | 1,000 finance leaders on month-end pain | Fresh opinions and behaviours | Sample bias, leading questions |
| Proprietary data study | Anonymised usage trends across customers | Unique, hard to copy | Privacy, consent, representativeness |
| Public data analysis | Government or open datasets analysed in a new way | Credible sources | Others can replicate |
| Index or benchmark | Annual ranking or scorecard | Recurring coverage | Method consistency over years |
| Expert panel or interviews | Qualitative insights from specialists | Depth | Small samples |
When to use, and when not to
Use it to earn coverage and links, support thought leadership, give sales credible data, fill gaps in industry knowledge and build an annual content asset.
Don't use it to produce statistics that support a predetermined conclusion, or when you lack budget for a credible sample or method.
Inputs to ask for, in one message
- Goals (coverage, links, leads, sales enablement, thought leadership).
- Audience and the questions they want answered.
- Data available (customer data, panels, public datasets).
- Budget for panels or fieldwork.
- Experts to interpret results.
- Legal and privacy constraints.
Raw SKILL.md file
This is the exact file agents read, including the credit header and licence notice. Save it as original-research-reports/SKILL.md.
--- name: original-research-reports description: "Plan, run and publish original research that earns coverage and links: questions worth answering, surveys, proprietary and public data studies, indexes and expert panels, sampling and quotas, neutral questionnaires, data cleaning and analysis, story angles, a published method box with limits, report pages and distribution. Use whenever someone asks about original research, data studies, surveys for PR, industry reports, annual indexes, data-driven content for links or how to create research journalists cite." license: CC-BY-4.0 metadata: author: Afeez Adebayo author_url: https://afeezadebayo.com author_linkedin: https://www.linkedin.com/in/afeez-adebayo/ author_x: https://x.com/za_icon source: https://afeezadebayo.com/skills-md/marketing/content-copy-pr/original-research-reports/ category: marketing subcategory: content-copy-pr version: "1.0.0" created: "2026-10-10" updated: "2026-10-10" --- # Original Research Reports Original research is one of the most reliable ways to earn attention a company can't buy: journalists cite it, bloggers link to it, sales teams use it, AI answer engines quote it and audiences remember the brand behind the numbers. A good survey, data study or index can earn coverage and links for years if repeated annually. A weak one (leading questions, tiny samples, obvious findings) earns nothing and can damage credibility. This skill plans, runs and publishes research reports for marketing and PR: choosing questions worth answering, methods, sampling, questionnaire design, analysis, honest reporting of limits, storytelling, design and distribution. ## Operating principles 1. **Answer a question people care about.** Journalists and audiences must want the answer. 2. **Method before headline.** Sound sampling and neutral questions make findings credible. 3. **Report openly.** Sample size, dates, method and limits published with the results. 4. **Find the story.** A few striking, useful findings beat a hundred charts. 5. **Plan distribution from the start.** Media, partners, sales and social plans before fieldwork. ## Research types | Type | Example | Strength | Watch out for | |---|---|---|---| | Survey | 1,000 finance leaders on month-end pain | Fresh opinions and behaviours | Sample bias, leading questions | | Proprietary data study | Anonymised usage trends across customers | Unique, hard to copy | Privacy, consent, representativeness | | Public data analysis | Government or open datasets analysed in a new way | Credible sources | Others can replicate | | Index or benchmark | Annual ranking or scorecard | Recurring coverage | Method consistency over years | | Expert panel or interviews | Qualitative insights from specialists | Depth | Small samples | ## When to use, and when not to Use it to earn coverage and links, support thought leadership, give sales credible data, fill gaps in industry knowledge and build an annual content asset. Don't use it to produce statistics that support a predetermined conclusion, or when you lack budget for a credible sample or method. ## Inputs to ask for, in one message 1. Goals (coverage, links, leads, sales enablement, thought leadership). 2. Audience and the questions they want answered. 3. Data available (customer data, panels, public datasets). 4. Budget for panels or fieldwork. 5. Experts to interpret results. 6. Legal and privacy constraints. ## Workflow ### Step 1. Find the question List questions journalists and audiences ask; check what research already exists; pick a gap. ### Step 2. Choose the method Survey, data study, public data, index or interviews, based on the question and resources. ### Step 3. Design the sample Who, how many, where and how recruited; plan quotas for key segments. ### Step 4. Write neutral questions Avoid leading wording, double questions and loaded options; pilot with a small group. ### Step 5. Collect and clean data Remove speeders, duplicates and inconsistent responses; document what was removed. ### Step 6. Analyse Top findings, segment differences, surprises; check significance where comparisons matter. ### Step 7. Find the story Three to five headline findings with implications; expert commentary. ### Step 8. Publish A report page with key findings, charts, method and downloadable data or PDF; press materials. ### Step 9. Distribute Embargoed media outreach, partners, social cuts, sales one-pager, webinar. ## Questionnaire rules | Rule | Poor | Better | |---|---|---| | Neutral wording | "How frustrating is manual reconciliation?" | "How would you describe manual reconciliation?" | | One question at a time | "How fast and accurate is your close?" | Separate speed and accuracy questions | | Balanced options | Mostly positive choices | Equal positive and negative options | | Clear time frame | "Do you work late?" | "In the last month, how many evenings did you work late on month-end?" | | Screening | None | Confirm role and company size first | ## Method box (publish with the report) ``` Method: Online survey of 1,012 finance leaders at companies with 50-1,000 employees in the UK and US, conducted 1-15 September 2026 by [panel provider]. Quotas: company size and country. Margin of error: about plus or minus 3 percentage points at 95% confidence for the full sample. Limitations: self-reported data; online panel. ``` ## Report page structure - Headline finding and a one-paragraph summary. - Three to five key findings, each with a chart and a sentence of interpretation. - Segment differences (size, sector, region). - Expert commentary and implications. - Method box and limitations. - Downloadable PDF or data, with a citation line journalists can copy. - Contact for media and interview requests. ## Embargo and outreach timeline | When | Action | |---|---| | 2 weeks before | Shortlist journalists and publications; prepare press kit | | 1 week before | Embargoed pitches with headline findings and expert availability | | Launch day | Publish page, lift embargo, social cuts, newsletter, partners | | Week after | Follow up with regional and trade angles; sales one-pager | | Months after | Reuse findings in talks, articles and annual update | ## Finding the story Look for findings that are surprising, useful or emotional: a gap between what people believe and what they do, a big difference between segments, a trend that reversed or a cost nobody had measured. Write each as a headline a journalist could use, then check it is supported by the data without stretching. ## Analysis checks - Report base sizes for every chart and segment. - Avoid comparing small subgroups as if differences were meaningful. - Round sensibly and keep wording faithful to the question asked. - Show distributions, not only averages, when they tell a different story. - Have someone outside the team review findings before publishing. ## Annual indexes Repeating a study each year with stable core questions creates trend stories journalists return to, and makes the report the reference source for the topic. Add a few new questions each year to keep it fresh, and keep past editions online with clear dates. ## Edge cases and judgement calls | Situation | What to do | |---|---| | Small budget | Use proprietary data or public datasets instead of large surveys | | Findings contradict your messaging | Publish anyway; credibility is the asset | | Customer data | Anonymise and aggregate; check contracts and privacy rules | | Annual repeats | Keep core questions stable for trends | | Weak or obvious results | Find segment differences or don't publish | ## Handoffs to related skills - Media outreach: `digital-pr` - Thought leadership: `thought-leadership` - Repurposing: `content-repurposing` - Measurement: `content-pr-measurement` - AI citations: the AEO & GEO `ai-citation-earning` skill - Survey research for products: the Product Marketing `customer-research-interviews` skill ## Worked example A UK accounting software company surveyed 500 small business owners about late payments, with quotas by sector and region and neutral questions piloted first. The headline finding (owners spent an average of several hours a week chasing unpaid invoices, with notable differences by sector) was published with a method box, sector charts and expert commentary. Embargoed pitches to business media and trade publications earned national coverage and dozens of links; the report became an annual index cited by journalists and in AI answers on late payments. ## Output format ``` # Research plan: <topic>, <date> ## Question and why it matters ## Method and sample ## Questionnaire (or data plan) ## Analysis plan ## Story angles ## Publishing and distribution plan ## Method box ``` ## Common mistakes - Leading questions designed to produce a headline. - Samples too small or unrepresentative. - No published method. - Reports with dozens of findings and no story. - No distribution plan. ## Questions to ask before you start - What question will journalists and audiences want answered? - Can we reach a credible sample within budget? - How will we distribute the findings? ## Self-check before you answer - Is the question relevant and unanswered? - Are sampling and questions sound and neutral? - Is the method published with limits? - Is there a story and distribution plan? ## Further reading - Market Research Society Code of Conduct: https://www.mrs.org.uk/standards/code-of-conduct - Pew Research Center on questionnaire design: https://www.pewresearch.org/our-methods/u-s-surveys/writing-survey-questions/ --- Created by Afeez Adebayo, Marketing, SEO & Growth Expert Website: https://afeezadebayo.com LinkedIn: https://www.linkedin.com/in/afeez-adebayo/ X: https://x.com/za_icon Source: https://afeezadebayo.com/skills-md/marketing/content-copy-pr/original-research-reports/ Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). You may copy, share and adapt this skill, including for commercial use, as long as you credit Afeez Adebayo and link to the source URL above. Keep this notice in any copy or adapted version.
Workflow
Step 1. Find the question
List questions journalists and audiences ask; check what research already exists; pick a gap.
Step 2. Choose the method
Survey, data study, public data, index or interviews, based on the question and resources.
Step 3. Design the sample
Who, how many, where and how recruited; plan quotas for key segments.
Step 4. Write neutral questions
Avoid leading wording, double questions and loaded options; pilot with a small group.
Step 5. Collect and clean data
Remove speeders, duplicates and inconsistent responses; document what was removed.
Step 6. Analyse
Top findings, segment differences, surprises; check significance where comparisons matter.
Step 7. Find the story
Three to five headline findings with implications; expert commentary.
Step 8. Publish
A report page with key findings, charts, method and downloadable data or PDF; press materials.
Step 9. Distribute
Embargoed media outreach, partners, social cuts, sales one-pager, webinar.
Questionnaire rules
| Rule | Poor | Better |
|---|---|---|
| Neutral wording | "How frustrating is manual reconciliation?" | "How would you describe manual reconciliation?" |
| One question at a time | "How fast and accurate is your close?" | Separate speed and accuracy questions |
| Balanced options | Mostly positive choices | Equal positive and negative options |
| Clear time frame | "Do you work late?" | "In the last month, how many evenings did you work late on month-end?" |
| Screening | None | Confirm role and company size first |
Method box (publish with the report)
Method: Online survey of 1,012 finance leaders at companies with 50-1,000 employees in the UK and US, conducted 1-15 September 2026 by [panel provider].
Quotas: company size and country.
Margin of error: about plus or minus 3 percentage points at 95% confidence for the full sample.
Limitations: self-reported data; online panel.Report page structure
- Headline finding and a one-paragraph summary.
- Three to five key findings, each with a chart and a sentence of interpretation.
- Segment differences (size, sector, region).
- Expert commentary and implications.
- Method box and limitations.
- Downloadable PDF or data, with a citation line journalists can copy.
- Contact for media and interview requests.
Embargo and outreach timeline
| When | Action |
|---|---|
| 2 weeks before | Shortlist journalists and publications; prepare press kit |
| 1 week before | Embargoed pitches with headline findings and expert availability |
| Launch day | Publish page, lift embargo, social cuts, newsletter, partners |
| Week after | Follow up with regional and trade angles; sales one-pager |
| Months after | Reuse findings in talks, articles and annual update |
Finding the story
Look for findings that are surprising, useful or emotional: a gap between what people believe and what they do, a big difference between segments, a trend that reversed or a cost nobody had measured. Write each as a headline a journalist could use, then check it is supported by the data without stretching.
Analysis checks
- Report base sizes for every chart and segment.
- Avoid comparing small subgroups as if differences were meaningful.
- Round sensibly and keep wording faithful to the question asked.
- Show distributions, not only averages, when they tell a different story.
- Have someone outside the team review findings before publishing.
Annual indexes
Repeating a study each year with stable core questions creates trend stories journalists return to, and makes the report the reference source for the topic. Add a few new questions each year to keep it fresh, and keep past editions online with clear dates.
Edge cases and judgement calls
| Situation | What to do |
|---|---|
| Small budget | Use proprietary data or public datasets instead of large surveys |
| Findings contradict your messaging | Publish anyway; credibility is the asset |
| Customer data | Anonymise and aggregate; check contracts and privacy rules |
| Annual repeats | Keep core questions stable for trends |
| Weak or obvious results | Find segment differences or don't publish |
Handoffs to related skills
- Media outreach:
digital-pr - Thought leadership:
thought-leadership - Repurposing:
content-repurposing - Measurement:
content-pr-measurement - AI citations: the AEO & GEO
ai-citation-earningskill - Survey research for products: the Product Marketing
customer-research-interviewsskill
Worked example
A UK accounting software company surveyed 500 small business owners about late payments, with quotas by sector and region and neutral questions piloted first. The headline finding (owners spent an average of several hours a week chasing unpaid invoices, with notable differences by sector) was published with a method box, sector charts and expert commentary. Embargoed pitches to business media and trade publications earned national coverage and dozens of links; the report became an annual index cited by journalists and in AI answers on late payments.
Output format
# Research plan: <topic>, <date>
## Question and why it matters
## Method and sample
## Questionnaire (or data plan)
## Analysis plan
## Story angles
## Publishing and distribution plan
## Method boxCommon mistakes
- Leading questions designed to produce a headline.
- Samples too small or unrepresentative.
- No published method.
- Reports with dozens of findings and no story.
- No distribution plan.
Questions to ask before you start
- What question will journalists and audiences want answered?
- Can we reach a credible sample within budget?
- How will we distribute the findings?
Self-check before you answer
- Is the question relevant and unanswered?
- Are sampling and questions sound and neutral?
- Is the method published with limits?
- Is there a story and distribution plan?
Further reading
- Market Research Society Code of Conduct: https://www.mrs.org.uk/standards/code-of-conduct
- Pew Research Center on questionnaire design: https://www.pewresearch.org/our-methods/u-s-surveys/writing-survey-questions/
On this page
- When to use this skill, and when not to
- Example prompts
- Example output
- What the agent needs from you
- How this skill hands off to related skills
- How to run Original Research Reports step by step
- Situations this skill handles
- What makes this skill different
- Practical tips from real projects
- Frequently asked questions
- Changelog
When to use this skill, and when not to
Use it to earn coverage and links, support thought leadership, give sales credible data, fill gaps in industry knowledge and build an annual content asset.
A good survey or data study can earn coverage and links for years, and AI answer engines quote credible numbers. A weak one with leading questions, tiny samples or obvious findings earns nothing and can damage credibility.
Don’t use it to produce statistics that support a predetermined conclusion, or without budget for a credible sample or method.
Example prompts
- “Plan a survey journalists will cite.”
- “Turn our product data into an industry report.”
- “Review this questionnaire for leading questions.”
- “Write the method box for our report.”
- “Find the headline story in these survey results.”
Example output
The skill returns a fixed structure. A shortened example for an imaginary site:
# Research plan: example late payments survey, 11 October 2026 Question: how much time do small business owners lose chasing unpaid invoices? Method: online survey, 500 UK owners, quotas by sector and region Headline: owners spend several hours a week chasing payments, varying by sector Publish: report page, method box, sector charts, expert commentary Distribution: embargoed pitches to business and trade media
The method, sample size, dates and limits are published with the results, because credibility is the real asset.
What the agent needs from you
The skill asks for goals, the audience and their questions, available data, budget for panels or fieldwork, experts to interpret results and legal and privacy constraints.
How this skill hands off to related skills
Research connects to the set: outreach in Digital PR, Thought Leadership, Repurposing and Measurement, plus AI citations with the AEO and GEO Earning Citations skill.
How to run Original Research Reports step by step
- Install the skill as
original-research-reports/SKILL.md. - Pick a question nobody has answered well.
- Choose the method and sample.
- Write and pilot neutral questions.
- Clean, analyse and find the story.
- Publish with a method box and distribute.
Situations this skill handles
Research projects vary. The skill handles these situations:
| Situation | What the skill does |
|---|---|
| Small budget | Proprietary or public data |
| Findings contradict messaging | Published anyway |
| Customer data | Anonymised and aggregated |
| Annual repeats | Stable core questions |
| Weak or obvious results | Segment differences or no publication |
| Small subgroups | Base sizes reported |
What makes this skill different
Most marketing surveys are designed to produce a headline. This skill starts with a question the audience wants answered, uses neutral questions and sound samples, and publishes the method so journalists and readers can trust the numbers.
Distribution is planned before fieldwork, so the research reaches the people who will cite it.
Practical tips from real projects
- Answer a question people care about.
- Method before headline.
- Report openly.
- Plan distribution from the start.
A worked example: a UK accounting software company surveyed 500 small business owners about late payments, with quotas by sector and region and neutral questions piloted first. The headline finding, that owners spent several hours a week chasing unpaid invoices with notable differences by sector, was published with a method box, sector charts and expert commentary. Embargoed pitches to business media and trade publications earned national coverage and dozens of links, and the report became an annual index cited by journalists and in AI answers on late payments.
Research types each have strengths and risks. Surveys capture fresh opinions and behaviours but risk sample bias and leading questions. Proprietary data studies are unique and hard to copy but need privacy care and may not represent the whole market. Public data analysis is credible but others can replicate it. Indexes and benchmarks earn recurring coverage if the method stays consistent. Expert panels add depth with small samples.
Questionnaire rules keep results trustworthy: neutral wording, such as asking how someone would describe manual reconciliation rather than how frustrating it is; one question at a time, separating speed from accuracy; balanced answer options; clear time frames, such as the number of late evenings in the last month; and screening questions that confirm role and company size first.
The method box states the method, sample, dates, provider, quotas, margin of error and limitations. For example: an online survey of 1,012 finance leaders at companies with 50 to 1,000 employees in the UK and US, conducted in September, with quotas by size and country, a margin of error of about three points for the full sample and the limits of self-reported online panel data.
Finding the story means looking for gaps between belief and behaviour, big segment differences, reversed trends or costs nobody had measured, then writing each as a headline a journalist could use and checking it is supported without stretching.
Analysis checks report base sizes for every chart, avoid over-reading small subgroups, round sensibly, keep wording faithful to the question, show distributions where averages mislead and have someone outside the team review findings.
The report page leads with the headline finding and a one-paragraph summary, then three to five key findings each with a chart and a sentence of interpretation, segment differences, expert commentary, the method box, a downloadable PDF or dataset with a citation line journalists can copy and a media contact. The outreach timeline shortlists journalists two weeks before launch, sends embargoed pitches with headline findings and expert availability a week before, publishes and lifts the embargo on launch day with social cuts, newsletter and partner posts, follows up with regional and trade angles the week after and reuses findings in talks and articles for months. Annual repeats keep core questions stable so trends can be reported, with a few new questions each year and past editions kept online with clear dates.
Questionnaires are always piloted with a small group before fieldwork begins.
Frequently asked questions
What makes research newsworthy?
A question people care about, sound methods, surprising or useful findings and clear implications.
How big should a survey sample be?
Large enough for the comparisons you plan; about 1,000 respondents gives roughly a 3-point margin of error for the full sample.
How do I avoid leading questions?
Use neutral wording, one question at a time, balanced options, clear time frames and screening questions.
Can I use our own product data?
Yes, if it is anonymised, aggregated and allowed by contracts and privacy rules.
What is a method box?
A short statement of who was surveyed, how, when, sample size, margin of error and limitations.
Should research be repeated?
Annual repeats with stable core questions create trend stories and make the report a reference source.
Changelog
- 1.0.0, 10 October 2026: first release.
Use, adapt and share this skill under CC BY 4.0: credit Afeez Adebayo and link to this page.
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