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Project Management engagement report

@PRINCE2PROJECT - 291K followers on X

Measured over 1 original post from a 30-day window, last computed on October 21, 2026.

Engagement

Per follower
0.001%
of 291K followers
Per impression
0.909%
440 views on a typical post
Reach
0.15%
of its followers see a post
Typical post
4
interactions (median)
Saved
0.455%
2 bookmarks on a typical post
Posting rate
0.3/day
active 27% of days
Peak time
19:00 UTC
Sunday

Early reading. We have captured 1 original post for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 4 interactions against 291K followers, an engagement rate of 0.001%. Posts are seen about 440 times each, and 0.909% of those impressions turn into an interaction. That is about 0.151% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 19:00 UTC, and Sunday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 19 interactions, about 4.8x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 1 original post from a 30-day window, last computed on October 21, 2026.

Where this sits in the catalog

At 0.001%, Project Management sits below the 10th percentile of the 212,656 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 212,656 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,418 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.025%
50th percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile82.9%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 19:00 UTC, and Sunday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video100% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 2987 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • May 7, 20264.8x their median

    https://t.co/14R4z5CdCV

    154001.2K viewsView on X
  • Aug 4, 20262.5x their median

    High-Quality Project Management Templates & Dashboard at: https://t.co/0djr3OuiFF Every project moves through two journeys. The visible journey produces schedules, budgets and deliverables. The invisible journey builds trust, alignment and confidence. Great project managers control both because a technically completed project can still disappoint the people it was created to serve. A roadmap is not a rigid route carved in stone. It is a decision system. It tells the team where it is, what comes next, who must act and what evidence is required before moving forward. PMI reports that nearly one-third of complex projects fail, while professionals who manage complexity effectively can increase the likelihood of success fivefold. 🧭 1. Establish the Foundation Define the business need, expected value, project objectives, governance structure, constraints and success criteria. Never begin with activities before understanding the destination. 🚩 2. Initiate with Authority Develop the business case, identify stakeholders, appoint the project manager, review initial risks and obtain approval through a clear project charter. 🗺️ 3. Build an Integrated Plan Create the scope baseline, WBS, schedule, budget, resource plan, risk register, communication strategy, procurement approach and quality criteria. Every plan must connect—because one change can affect cost, time, resources and benefits simultaneously. ⚙️ 4. Execute Through People Mobilize the team, assign ownership, manage suppliers, produce deliverables and communicate continuously. Leadership converts planning documents into coordinated action. 📊 5. Monitor What Matters Track milestones, earned value, forecasts, risks, issues, quality and stakeholder expectations. PMI recorded an average project-performance rate of 73.8%, showing that disciplined delivery still leaves considerable room for improvement. 🛡️ 6. Control Risks, Issues and Changes Evaluate impact before approving change. Assign risk owners, investigate root causes and maintain decision records so urgency never replaces governance. 🏆 7. Close and Improve Secure acceptance, close contracts, release resources, document lessons and review benefits. Closure is not administration—it is where experience becomes organizational intelligence. 🚀 Turn the Roadmap into Action Stop rebuilding project documents from zero. Our professionally designed templates help you plan, monitor and communicate with greater consistency while saving valuable working hours. Explore our High-Quality Project Management Templates & Dashboard at: https://t.co/0djr3OuiFF #ProjectManagement #ProjectRoadmap #ProjectPlanning #ProjectManager #PMO #RiskManagement #ProjectLeadership #ProjectControls #ExcelDashboard #Template22

    91001.2K viewsView on X
  • Sep 10, 20261.5x their median

    A MUST-READ book: AI-Powered Project Management at: https://t.co/iHms6Vwwps https://t.co/GutZh43Mfc

    3210959 viewsView on X
  • Oct 18, 2026

    A MUST-READ book: AI-Powered Project Management at: https://t.co/4wNtqtKEkf 98 Ways Project Managers Can Use ChatGPT Planning & Setup 1. Draft project charters 2. Define objectives 3. Clarify project scope 4. Identify deliverables 5. Create WBS structures 6. Build milestone lists 7. Draft project plans 8. Develop schedules 9. Break work into tasks 10. Estimate task durations 11. Identify dependencies 12. Define acceptance criteria 13. Create planning checklists 14. Develop assumptions logs 15. Identify constraints 16. Create kickoff agendas 17. Draft success criteria 18. Define project KPIs 19. Develop governance plans 20. Create phase-gate checklists Risk & Issue Management 21. Identify potential risks 22. Categorize risks 23. Draft risk responses 24. Create risk registers 25. Analyze root causes 26. Develop contingency plans 27. Draft issue logs 28. Suggest mitigation actions 29. Create risk questions 30. Summarize risk exposure Stakeholders & Communication 31. Identify stakeholders 32. Analyze stakeholder needs 33. Build RACI matrices 34. Draft communication plans 35. Write status updates 36. Prepare executive summaries 37. Draft stakeholder emails 38. Simplify technical information 39. Prepare presentations 40. Create meeting agendas 41. Summarize meeting notes 42. Draft meeting minutes 43. Generate action items 44. Prepare difficult conversations 45. Create feedback questions Cost & Resources 46. Draft project budgets 47. Identify cost categories 48. Analyze cost variances 49. Explain CPI and SPI 50. Review resource requirements 51. Build resource plans 52. Identify resource conflicts 53. Suggest workload balancing 54. Draft procurement requirements 55. Create vendor questions 56. Compare supplier proposals 57. Develop cost-saving ideas 58. Explain EVM results 59. Draft forecasting assumptions 60. Analyze budget scenarios Execution & Control 61. Create task trackers 62. Analyze schedule delays 63. Suggest corrective actions 64. Prioritize tasks 65. Draft change requests 66. Assess change impacts 67. Create decision logs 68. Review project health 69. Analyze bottlenecks 70. Prepare recovery plans 71. Generate progress summaries 72. Develop quality checklists 73. Draft inspection criteria 74. Identify process gaps 75. Create escalation messages 76. Analyze recurring issues 77. Prepare weekly reviews 78. Create dashboard commentary 79. Explain KPI trends 80. Generate management insights Leadership & Productivity 81. Prepare coaching questions 82. Resolve team conflicts 83. Improve delegation 84. Brainstorm solutions 85. Prepare negotiations 86. Draft recognition messages 87. Create team surveys 88. Develop lessons learned 89. Improve decision-making questions 90. Prepare retrospectives Documentation, Data & AI 91. Draft SOPs 92. Create project templates 93. Improve Excel formulas 94. Suggest dashboard KPIs 95. Explain project data 96. Turn raw notes into reports 97. Summarize long documents 98. Create reusable prompts

    3100440 viewsView on X
  • May 14, 2026

    A MUST-READ book on Project Cost Management: The Art & Science of Cost Management : https://t.co/yN9lAxX9Cu https://t.co/0ZpKRrMUCp

    2100574 viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 4 interactions against 291K followers, an engagement rate of 0.001%. Posts are seen about 440 times each, and 0.909% of those impressions turn into an interaction. That is about 0.151% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 19:00 UTC, and Sunday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 19 interactions, about 4.8x its own typical post. Only 1 original post have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Project Management's engagement rate on X?
Project Management (@PRINCE2PROJECT) has an engagement rate of 0.001%, based on the median interactions across 1 original posts from the last 30 days against 290,886 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Project Management sits below the 10th percentile of the 212,656 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @PRINCE2PROJECT have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @PRINCE2PROJECT post?
Most posts go out around 19:00 UTC, and Sunday is its busiest day, at roughly 0.3 posts per day across the measured window.

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