• Other
  • 24 columns
  • 64 rows
  • 8 formats

Micro-Charity Donation Flow Analytics

This dataset provides granular, workflow-level analytics for micro-charity donations, capturing donor details, transaction data, workflow steps, bottlenecks, and impact reporting. It enables nonprofit program analysts to identify conversion bottlenecks, optimize fundraising processes, and improve donor engagement and impact transparency.

  • last updated 24 Oct 2025
  • by GoMask
The brief that made it

Identifying and resolving workflow bottlenecks in micro-charity donation processes

Sample rows

preview · 8 of 64 rows · all 24 columns
donation_idstringworkflow_stepstringdonation_amountfloatbottleneck_flagbooleandonor_countrystringdonor_idstringdonor_namestringdonor_emailstringdonor_phonestringorganization_idstringorganization_namestringcampaign_idstringcampaign_namestringdonation_currencystringdonation_datedatetimedonation_statusstringpayment_methodstringconversion_stagestringprocessing_time_secondsfloatis_recurringbooleanrecurring_frequencystringimpact_reportedbooleanimpact_report_datedatebottleneck_reasonstring
DN0001confirmation_sent35.5falseUnited StatesDR001Anna Martinezanna.martinez@gmail.com+1-202-555-0175ORG001Hope for AllCP001Clean Water InitiativeUSD2024-05-03T14:18:23completedcredit_cardcompleted18.5truemonthlytrue2024-05-10blank
DN0002confirmation_sent60falseUnited KingdomDR002John K. Leejohnlee23@yahoo.com+44-20-7946-0957ORG002Green PlanetCP002Tree Planting DriveGBP2024-04-18T09:41:12completedpaypalcompleted12.7falsenonefalseblankblank
DN0003form_filled15trueCanadaDR003Emily Wangemily.wang@outlook.comblankORG001Hope for AllCP001Clean Water InitiativeCAD2024-05-07T11:14:54pendingcredit_cardinitiated0falsenonefalseblankPayment gateway delay
DN0004confirmation_sent21.75falseBrazilDR004Luis Nascimentoluis.nascimento@terra.com.br+55-11-3124-8256ORG003Children FirstCP003School Supplies DriveBRL2024-05-10T17:29:08completedbank_transfercompleted40.2falsenonetrue2024-05-18blank
DN0005confirmation_sent150falseUnited KingdomDR002John K. Leejohnlee23@yahoo.com+44-20-7946-0957ORG002Green PlanetCP004Ocean Cleanup FundGBP2024-05-15T21:05:47completedpaypalcompleted14.3truequarterlytrue2024-05-22blank
DN0006payment_submitted50trueIndiaDR005Priya Singhpriya.singh@hotmail.com+91-22-2234-8765ORG004Food Relief NetworkCP005Hunger Free WeekINR2024-04-22T13:47:19failedcredit_cardabandoned3.2falsenonefalseblankCard declined
DN0007confirmation_sent25falseSpainDR006Samantha Riverasamantha.rivera@gmail.com+34-91-555-1234ORG005Animal AidCP006Pet Shelter ExpansionEUR2024-05-13T10:25:36completedcredit_cardcompleted9.8falsenonetrue2024-05-21blank
DN0008form_filled10trueEgyptDR007Mohamed Hassanmohamed.hassan@mail.com+20-2-2794-5632ORG006Medical MissionCP007Vaccination DriveEGP2024-05-09T16:38:04pendingbank_transferinitiated0falsenonefalseblankIncomplete bank details

What the 64 rows show

from the 64-row sample

Form_filled (workflow step) stands out: 7 of its 11 rows have bottleneck_flag = true, against 6 of 53 for the rest.

  • 20%bottleneck_flag = true
  • 36.5median donation_amount
  • 3conversion stages
  • 4donation statuses
  • 4recurring frequencies
  • 5payment methods
Bottleneck flag rate by workflow_stepbottleneck_flag = true
0%50%100%64%form_filled7 of 1167%payment_subm…6 of 90%confirmation…0 of 44
donation_amount64 rows, in bands of 200
03060572202106001,200donation_amount →

Median 36.5, from 5.0 to 1,200.

donor_country64 rows · top 10 of 29 values
  1. United States8
  2. Russia6
  3. United Kingdom3
  4. India3
  5. Egypt3
  6. South Korea3
  7. France3
  8. Sweden3
  9. Singapore3
  10. Brazil2
24 columns by typefrom the column list below
  • string 17
  • float 2
  • date 1
  • datetime 1
  • boolean 3

Columns

24 columns in four groups
blueprint · 24 columns
columntypedescriptionexample
Text 17 columns
donation_idstringUnique identifier for each donation transactionuniqueDN0001
donor_idstringUnique identifier for each donorDR001
donor_namestringFull name of the donorAnna Martinez
donor_emailstringEmail address of the donoranna.martinez@gmail.com
donor_phonestringPhone number of the donoroptional+1-202-555-0175
donor_countrystringCountry of residence of the donoroptionalUnited States
organization_idstringUnique identifier for the nonprofit organization receiving the donationORG001
organization_namestringName of the nonprofit organizationHope for All
campaign_idstringUnique identifier for the fundraising campaignoptionalCP001
campaign_namestringName of the fundraising campaignoptionalClean Water Initiative
donation_currencystringCurrency code of the donation (e.g., USD, EUR)USD
donation_statusstringCurrent status of the donation (e.g., pending, completed, failed, refunded)pending · completed · failed · refundedcompleted
payment_methodstringMethod used for the donation payment (e.g., credit_card, paypal, bank_transfer)credit_card · paypal · bank_transfer · cash · othercredit_card
conversion_stagestringStage in the donation workflow where the donor is (e.g., visited, initiated, completed, abandoned)visited · initiated · completed · abandonedcompleted
workflow_stepstringSpecific step in the donation workflow (e.g., landing_page, form_filled, payment_submitted, confirmation_sent)5 valuesconfirmation_sent
recurring_frequencystringFrequency of recurring donation (e.g., monthly, yearly); null if not recurringmonthly · quarterly · yearly · none · optionalmonthly
bottleneck_reasonstringReason for the bottleneck, if any10 reasons · optionalPayment gateway delay
Numbers 2 columns
donation_amountfloatAmount donated in the transaction0.01 or more35.5
processing_time_secondsfloatTime taken to process the donation (in seconds)0 or more · optional18.5
Dates and times 2 columns
donation_datedatetimeDate and time the donation was made2024-05-03T14:18:23
impact_report_datedateDate when the impact report was sent to the donoroptional2024-05-10
True or false 3 columns
is_recurringbooleanIndicates if the donation is part of a recurring scheduletrue
impact_reportedbooleanIndicates if the impact of the donation has been reported to the donoroptionaltrue
bottleneck_flagbooleanIndicates if this donation encountered a workflow bottleneckoptionalfalse

Use it for

  • bottleneck flag20%13 of 64 rowsmean donation amount …50.5form_f…68.7paymen…127.6confir…

    A dashboard

    The bottleneck_flag rate, donation_amount by workflow_step and a breakdown of donor_country. Excel, Power BI or Tableau.

  • Why do 13 of 64 rows have bottleneck_flag = true?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable donations with donor_id, donor_name and donor_email to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 24 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset64 rows24 columns
Yours1,000 rows24 columnsdonor_country: UK only

blueprint · micro-charity-donation-flow-analytics

Behind this dataset

Same schema. As many rows as you need.

These 64 rows came out of a blueprint — 24 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each donation record includes donor type (individual, corporate, recurring)
  • Workflow steps tracked: awareness, engagement, donation, thank you, follow-up
  • Status fields must reflect completion or pending
  • Donation amounts range from $1 to $5,000
  • Time-to-donation tracked from initial contact to completion
  • Flag donations tied to specific campaigns or unrestricted
Rows
Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
micro-charity-donation-flow-analytics

More in Other

Browse all
Also in OtherVolunteer Impact and Scheduling LogsProduct Warranty Registration RecordsStore LocationsAll 1,958 datasets

What should your data show?

Preview 20 rows free
No signup. No card.