Alluvial Diagram | Zyeon UI

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ready — four quarters of the same 1,200 accounts. Hover a band for one movement, hover a node for its stayed / arrived / left split, or press a legend chip to follow one tier across every quarter (Escape clears it).

Engagement tier movement

1,200 accounts followed through four quarters

Q1Q2Q3Q4

PowerRegularCasualDormant

71% stayed put between readings

Largest move · Casual → Dormant between Q1 and Q2 · 90 accounts

Engagement tier movement. 4 categories tracked across 4 readings, Q1 to Q4. 1,200 accounts at the fullest reading. 71% stayed in the same category from one reading to the next. largest move Casual to Dormant between Q1 and Q2, 90 accounts.
Between	From	To	Count	Share of origin
Q1 to Q2	Power	Power (stayed)	140 accounts	78%
Q1 to Q2	Power	Regular	30 accounts	17%
Q1 to Q2	Power	Casual	10 accounts	6%
Q1 to Q2	Regular	Power	55 accounts	13%
Q1 to Q2	Regular	Regular (stayed)	280 accounts	67%
Q1 to Q2	Regular	Casual	70 accounts	17%
Q1 to Q2	Regular	Dormant	15 accounts	4%
Q1 to Q2	Casual	Regular	60 accounts	15%
Q1 to Q2	Casual	Casual (stayed)	250 accounts	63%
Q1 to Q2	Casual	Dormant	90 accounts	23%
Q1 to Q2	Dormant	Casual	35 accounts	18%
Q1 to Q2	Dormant	Dormant (stayed)	165 accounts	83%
Q2 to Q3	Power	Power (stayed)	150 accounts	77%
Q2 to Q3	Power	Regular	35 accounts	18%
Q2 to Q3	Power	Casual	10 accounts	5%
Q2 to Q3	Regular	Power	60 accounts	16%
Q2 to Q3	Regular	Regular (stayed)	240 accounts	65%
Q2 to Q3	Regular	Casual	60 accounts	16%
Q2 to Q3	Regular	Dormant	10 accounts	3%
Q2 to Q3	Casual	Regular	55 accounts	15%
Q2 to Q3	Casual	Casual (stayed)	230 accounts	63%
Q2 to Q3	Casual	Dormant	80 accounts	22%
Q2 to Q3	Dormant	Casual	40 accounts	15%
Q2 to Q3	Dormant	Dormant (stayed)	230 accounts	85%
Q3 to Q4	Power	Power (stayed)	170 accounts	81%
Q3 to Q4	Power	Regular	30 accounts	14%
Q3 to Q4	Power	Casual	10 accounts	5%
Q3 to Q4	Regular	Power	50 accounts	15%
Q3 to Q4	Regular	Regular (stayed)	215 accounts	65%
Q3 to Q4	Regular	Casual	55 accounts	17%
Q3 to Q4	Regular	Dormant	10 accounts	3%
Q3 to Q4	Casual	Regular	60 accounts	18%
Q3 to Q4	Casual	Casual (stayed)	210 accounts	62%
Q3 to Q4	Casual	Dormant	70 accounts	21%
Q3 to Q4	Dormant	Casual	45 accounts	14%
Q3 to Q4	Dormant	Dormant (stayed)	275 accounts	86%

Membership at each reading
Reading	Category	Members	Stayed on	Arrived	Left	Population change
Q1	Power	180 accounts	140 accounts	0 accounts	40 accounts	none
Q1	Regular	420 accounts	280 accounts	0 accounts	140 accounts	none
Q1	Casual	400 accounts	250 accounts	0 accounts	150 accounts	none
Q1	Dormant	200 accounts	165 accounts	0 accounts	35 accounts	none
Q2	Power	195 accounts	150 accounts	55 accounts	45 accounts	none
Q2	Regular	370 accounts	240 accounts	90 accounts	130 accounts	none
Q2	Casual	365 accounts	230 accounts	115 accounts	135 accounts	none
Q2	Dormant	270 accounts	230 accounts	105 accounts	40 accounts	none
Q3	Power	210 accounts	170 accounts	60 accounts	40 accounts	none
Q3	Regular	330 accounts	215 accounts	90 accounts	115 accounts	none
Q3	Casual	340 accounts	210 accounts	110 accounts	130 accounts	none
Q3	Dormant	320 accounts	275 accounts	90 accounts	45 accounts	none
Q4	Power	220 accounts	0 accounts	50 accounts	0 accounts	none
Q4	Regular	305 accounts	0 accounts	90 accounts	0 accounts	none
Q4	Casual	320 accounts	0 accounts	110 accounts	0 accounts	none
Q4	Dormant	355 accounts	0 accounts	80 accounts	0 accounts	none

ready + order="given" — the source system stores severities alphabetically, so "Low" sits between "High" and "Medium" and every neighbouring move has to cross. Measured crossing cost: 522 tickets.

Ticket severity drift

480 open tickets, three weekly reviews — categories in the source system's own order

Week 1Week 2Week 3

CriticalHighLowMedium

56% stayed put between readings

Largest move · Medium → Low between Week 1 and Week 2 · 55 tickets

Ticket severity drift. 4 categories tracked across 3 readings, Week 1 to Week 3. 480 tickets at the fullest reading. 56% stayed in the same category from one reading to the next. largest move Medium to Low between Week 1 and Week 2, 55 tickets.
Between	From	To	Count	Share of origin
Week 1 to Week 2	Critical	Critical (stayed)	25 tickets	42%
Week 1 to Week 2	Critical	High	30 tickets	50%
Week 1 to Week 2	Critical	Medium	5 tickets	8%
Week 1 to Week 2	High	Critical	15 tickets	11%
Week 1 to Week 2	High	High (stayed)	70 tickets	50%
Week 1 to Week 2	High	Low	5 tickets	4%
Week 1 to Week 2	High	Medium	50 tickets	36%
Week 1 to Week 2	Low	Low (stayed)	75 tickets	75%
Week 1 to Week 2	Low	Medium	25 tickets	25%
Week 1 to Week 2	Medium	High	35 tickets	19%
Week 1 to Week 2	Medium	Low	55 tickets	31%
Week 1 to Week 2	Medium	Medium (stayed)	90 tickets	50%
Week 2 to Week 3	Critical	Critical (stayed)	18 tickets	45%
Week 2 to Week 3	Critical	High	20 tickets	50%
Week 2 to Week 3	Critical	Medium	2 tickets	5%
Week 2 to Week 3	High	Critical	12 tickets	9%
Week 2 to Week 3	High	High (stayed)	65 tickets	48%
Week 2 to Week 3	High	Low	8 tickets	6%
Week 2 to Week 3	High	Medium	50 tickets	37%
Week 2 to Week 3	Low	Low (stayed)	105 tickets	78%
Week 2 to Week 3	Low	Medium	30 tickets	22%
Week 2 to Week 3	Medium	High	30 tickets	18%
Week 2 to Week 3	Medium	Low	55 tickets	32%
Week 2 to Week 3	Medium	Medium (stayed)	85 tickets	50%

Membership at each reading
Reading	Category	Members	Stayed on	Arrived	Left	Population change
Week 1	Critical	60 tickets	25 tickets	0 tickets	35 tickets	none
Week 1	High	140 tickets	70 tickets	0 tickets	70 tickets	none
Week 1	Low	100 tickets	75 tickets	0 tickets	25 tickets	none
Week 1	Medium	180 tickets	90 tickets	0 tickets	90 tickets	none
Week 2	Critical	40 tickets	18 tickets	15 tickets	22 tickets	none
Week 2	High	135 tickets	65 tickets	65 tickets	70 tickets	none
Week 2	Low	135 tickets	105 tickets	60 tickets	30 tickets	none
Week 2	Medium	170 tickets	85 tickets	80 tickets	85 tickets	none
Week 3	Critical	30 tickets	0 tickets	12 tickets	0 tickets	none
Week 3	High	115 tickets	0 tickets	50 tickets	0 tickets	none
Week 3	Low	168 tickets	0 tickets	63 tickets	0 tickets	none
Week 3	Medium	167 tickets	0 tickets	82 tickets	0 tickets	none

ready + order="untangle" (the default) — same data, same colours, one swap of the category order. Measured crossing cost: 207 tickets, down 60%. The 2-ticket band is the one painted at the 1px floor.

Ticket severity drift

480 open tickets, three weekly reviews — categories in the source system's own order

Week 1Week 2Week 3

CriticalHighMediumLow

56% stayed put between readings

Largest move · Medium → Low between Week 1 and Week 2 · 55 tickets

Ticket severity drift. 4 categories tracked across 3 readings, Week 1 to Week 3. 480 tickets at the fullest reading. 56% stayed in the same category from one reading to the next. largest move Medium to Low between Week 1 and Week 2, 55 tickets.
Between	From	To	Count	Share of origin
Week 1 to Week 2	Critical	Critical (stayed)	25 tickets	42%
Week 1 to Week 2	Critical	High	30 tickets	50%
Week 1 to Week 2	Critical	Medium	5 tickets	8%
Week 1 to Week 2	High	Critical	15 tickets	11%
Week 1 to Week 2	High	High (stayed)	70 tickets	50%
Week 1 to Week 2	High	Medium	50 tickets	36%
Week 1 to Week 2	High	Low	5 tickets	4%
Week 1 to Week 2	Medium	High	35 tickets	19%
Week 1 to Week 2	Medium	Medium (stayed)	90 tickets	50%
Week 1 to Week 2	Medium	Low	55 tickets	31%
Week 1 to Week 2	Low	Medium	25 tickets	25%
Week 1 to Week 2	Low	Low (stayed)	75 tickets	75%
Week 2 to Week 3	Critical	Critical (stayed)	18 tickets	45%
Week 2 to Week 3	Critical	High	20 tickets	50%
Week 2 to Week 3	Critical	Medium	2 tickets	5%
Week 2 to Week 3	High	Critical	12 tickets	9%
Week 2 to Week 3	High	High (stayed)	65 tickets	48%
Week 2 to Week 3	High	Medium	50 tickets	37%
Week 2 to Week 3	High	Low	8 tickets	6%
Week 2 to Week 3	Medium	High	30 tickets	18%
Week 2 to Week 3	Medium	Medium (stayed)	85 tickets	50%
Week 2 to Week 3	Medium	Low	55 tickets	32%
Week 2 to Week 3	Low	Medium	30 tickets	22%
Week 2 to Week 3	Low	Low (stayed)	105 tickets	78%

Membership at each reading
Reading	Category	Members	Stayed on	Arrived	Left	Population change
Week 1	Critical	60 tickets	25 tickets	0 tickets	35 tickets	none
Week 1	High	140 tickets	70 tickets	0 tickets	70 tickets	none
Week 1	Medium	180 tickets	90 tickets	0 tickets	90 tickets	none
Week 1	Low	100 tickets	75 tickets	0 tickets	25 tickets	none
Week 2	Critical	40 tickets	18 tickets	15 tickets	22 tickets	none
Week 2	High	135 tickets	65 tickets	65 tickets	70 tickets	none
Week 2	Medium	170 tickets	85 tickets	80 tickets	85 tickets	none
Week 2	Low	135 tickets	105 tickets	60 tickets	30 tickets	none
Week 3	Critical	30 tickets	0 tickets	12 tickets	0 tickets	none
Week 3	High	115 tickets	0 tickets	50 tickets	0 tickets	none
Week 3	Medium	167 tickets	0 tickets	82 tickets	0 tickets	none
Week 3	Low	168 tickets	0 tickets	63 tickets	0 tickets	none

ready — a population that changes size: 150 trials start in February with nothing upstream and 60 lapsed accounts are deleted with nothing downstream. Both nodes carry a dashed cut-out on the face that has more node than ribbon; hover them for the count.

Subscription state, month by month

900 subscribers in January · 150 trials start in February · 60 lapsed accounts deleted

JanuaryFebruaryMarch

TrialPaidLapsed

75% stayed put between readings

Largest move · Trial → Paid between February and March · 130 subscribers

Subscription state, month by month. 3 categories tracked across 3 readings, January to March. 1,050 subscribers at the fullest reading. 75% stayed in the same category from one reading to the next. largest move Trial to Paid between February and March, 130 subscribers.
Between	From	To	Count	Share of origin
January to February	Trial	Trial (stayed)	120 subscribers	40%
January to February	Trial	Paid	90 subscribers	30%
January to February	Trial	Lapsed	90 subscribers	30%
January to February	Paid	Paid (stayed)	460 subscribers	92%
January to February	Paid	Lapsed	40 subscribers	8%
January to February	Lapsed	Paid	15 subscribers	15%
January to February	Lapsed	Lapsed (stayed)	85 subscribers	85%
February to March	Trial	Trial (stayed)	100 subscribers	37%
February to March	Trial	Paid	130 subscribers	48%
February to March	Trial	Lapsed	40 subscribers	15%
February to March	Paid	Paid (stayed)	520 subscribers	92%
February to March	Paid	Lapsed	45 subscribers	8%
February to March	Lapsed	Paid	20 subscribers	13%
February to March	Lapsed	Lapsed (stayed)	135 subscribers	87%

Membership at each reading
Reading	Category	Members	Stayed on	Arrived	Left	Population change
January	Trial	300 subscribers	120 subscribers	0 subscribers	180 subscribers	none
January	Paid	500 subscribers	460 subscribers	0 subscribers	40 subscribers	none
January	Lapsed	100 subscribers	85 subscribers	0 subscribers	15 subscribers	none
February	Trial	270 subscribers	100 subscribers	0 subscribers	170 subscribers	150 subscribers joined
February	Paid	565 subscribers	520 subscribers	105 subscribers	45 subscribers	none
February	Lapsed	215 subscribers	135 subscribers	130 subscribers	20 subscribers	60 subscribers left
March	Trial	100 subscribers	0 subscribers	0 subscribers	0 subscribers	none
March	Paid	670 subscribers	0 subscribers	150 subscribers	0 subscribers	none
March	Lapsed	220 subscribers	0 subscribers	85 subscribers	0 subscribers	none

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Engagement tier movement

1,200 accounts followed through four quarters

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Engagement tier movement

1,200 accounts followed through four quarters

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Engagement tier movement

1,200 accounts followed through four quarters

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Engagement tier movement. 4 categories tracked across 4 readings, Q1 to Q4. 1,200 accounts at the fullest reading. 71% stayed in the same category from one reading to the next. largest move Casual to Dormant between Q1 and Q2, 90 accounts.

Between

From

Count

Share of origin

Q1 to Q2

Power

Power (stayed)

140 accounts

78%

Q1 to Q2

Power

Regular

30 accounts

17%

Q1 to Q2

Power

Casual

10 accounts

Q1 to Q2

Regular

Power

55 accounts

13%

Q1 to Q2

Regular

Regular (stayed)

280 accounts

67%

Q1 to Q2

Regular

Casual

70 accounts

17%

Q1 to Q2

Regular

Dormant

15 accounts

Q1 to Q2

Casual

Regular

60 accounts

15%

Q1 to Q2

Casual

Casual (stayed)

250 accounts

63%

Q1 to Q2

Casual

Dormant

90 accounts

23%

Q1 to Q2

Dormant

Casual

35 accounts

18%

Q1 to Q2

Dormant

Dormant (stayed)

165 accounts

83%

Q2 to Q3

Power

Power (stayed)

150 accounts

77%

Q2 to Q3

Power

Regular

35 accounts

18%

Q2 to Q3

Power

Casual

10 accounts

Q2 to Q3

Regular

Power

60 accounts

16%

Q2 to Q3

Regular

Regular (stayed)

240 accounts

65%

Q2 to Q3

Regular

Casual

60 accounts

16%

Q2 to Q3

Regular

Dormant

10 accounts

Q2 to Q3

Casual

Regular

55 accounts

15%

Q2 to Q3

Casual

Casual (stayed)

230 accounts

63%

Q2 to Q3

Casual

Dormant

80 accounts

22%

Q2 to Q3

Dormant

Casual

40 accounts

15%

Q2 to Q3

Dormant

Dormant (stayed)

230 accounts

85%

Q3 to Q4

Power

Power (stayed)

170 accounts

81%

Q3 to Q4

Power

Regular

30 accounts

14%

Q3 to Q4

Power

Casual

10 accounts

Q3 to Q4

Regular

Power

50 accounts

15%

Q3 to Q4

Regular

Regular (stayed)

215 accounts

65%

Q3 to Q4

Regular

Casual

55 accounts

17%

Q3 to Q4

Regular

Dormant

10 accounts

Q3 to Q4

Casual

Regular

60 accounts

18%

Q3 to Q4

Casual

Casual (stayed)

210 accounts

62%

Q3 to Q4

Casual

Dormant

70 accounts

21%

Q3 to Q4

Dormant

Casual

45 accounts

14%

Q3 to Q4

Dormant

Dormant (stayed)

275 accounts

86%

Membership at each reading

Reading