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Standard deviations of less than 10 percent can result from the data being one day stale, or in edge cases where an issue was moved in and out of a status multiple times. Greater deviations require investigation

Standard Deviation
Green +/- 5%Accurate
Orange+/- 5% to +/- 10%Acceptable
RedAbove +/- 10%Requires Triage*
 *triage required if the delta between Jira Validation Query and the report both numerically and proportionally large. Examples of non-triaged counts with greater than than +/-10%
  1. 6/5 has a delta of one issue, but is greater than the acceptable standard deviation

Validation Date: 8/15/2022

Validator: Marc Santini

Validation Notes:

  1. Issues with status changes to implementing were not being caught because the earlier status was being returned by the validation query. Changing the time from (YYYY-M(M)-D(D)) to ('YYYY-M(M)-D(D) HH:MM'), with "HH:MM" being "23:59" catches the status at 11:59 PM. This brought all counts well under the "Accurate" STD category
iQiesPI3PI4 PI5PI6PI7
Funnel160/156179/177175/173199/198299/300
Feature Definition1/13/35/56/64/4
Feature Refinement3/35/54/43/31/1
Feature Deep Dive8/811/114/418/1810/10
Story Definition84/8592/9254/5468/6852/52
PI Ready68/6859/59 84/8480/8082/82
Implementing57/5668/6869/6950/5050/50
EQRSPI 14PI 15PI 16PI 17PI 18
Funnel21/21125/125107/10784/84100/100
Analyzing (SAFe)0/00/03/33/33/3
Refining16/1613/1314/13*8/86/5*
Ready For PI0/09/917/1721/2225/25
Implementing5/512/1225/2529/2936/39

Validation Date : 8/11/2022

Validator:  Marc Santini

iQiesPI3PI4 PI5PI6PI7
Funnel160/156179/177175/173199/198299/302
Feature Definition1/13/35/56/64/4
Feature Refinement3/35/54/43/31/1
Feature Deep Dive8/811/114/418/1817/10
Story Definition84/8592/9254/7068/7352/55*
PI Ready68/6859/6584/9980/8282/88
Implementing57/5968/7269/7550/5050/50
EQRSPI 14PI 15PI 16PI 17PI 18
Funnel21/21125/125107/10784/84100/102
Analyzing (SAFe)0/00/03/33/33/3
Refining16/1613/1314/13*8/86/5*
Ready For PI0/09/917/1721/2225/27*
Implementing5/512/1225/2529/3336/38*

Validation Date: 

Validators: Randolph Anago, Marc Santini

Validation notes: 

TypesiQIESEQRS
Infrastructure Enabler1/10/0
Architectural Enabler1/10/0
Exploration Enabler1/019/22
Compliance Enabler2/20/0
Enabler91/908/8
Features499/426130/62

Validation Date: 08/12/2022

Validator: Randolph Anagho

TypesiQIESEQRS
Infrastructure Enabler1/10/0
Architectural Enabler1/10/0
Exploration Enabler1/019/19
Compliance Enabler2/20/0
Enabler91/908/8
Features499/426130/62

Report Name: Features Started and Closed per PI

Legend: EazyBI count/JQL count

Validation Date : 8/17/2022

Validator: Marc Santini

Because The eazybi measure was using dateBetween with the actual PI start and end dates, it was not picking up items changed to the Implementing or Done statuses on the defined PI Start and End dates, because it was only looking for items in between those dates, not including them I updated the query to check After the the last minute of the day before the PI, and Before the first minute of the day following the PI. I updated the Eazybi measure and then changed the Jira query to use the BEFORE and AFTER operators rather than the DURING and used matching timestamps in both the measure and the query. I suspect that the DURING operator in Jira is not as high resolution as EazyBi's Datebetween function. 

I will create two stories to investigate the anomalous counts for iQIES PI 6 implementing, and EQRS PI 18 Done

Updated DateBetween function:  [Time].[Day].DateMembersBetween('Jan 18 2022 23:59', 'Apr 13 2022 00:01')
Updated Query:  Project = EQRS AND issuetype = 10000 AND Status changed to Done AFTER  ("2022-01-19 00:01")  AND Status changed to Done BEFORE  ("2022-04-13 00:01")
iQiesPI3PI4 PI5PI6PI7
Implementing104/104129/132123/122123/11383/85
Done196/196132/13597/97115/11516/17*


EQRSPI 14PI 15PI 16PI 17PI 18PI 19
Implementing16/1630/3036/3632/3221/2116/16
Done10/1025/2532/3233/3233/2919/19


Validation Date : 8/16/2022

Validator: Seth Evans

iQiesPI3PI4 PI5PI6PI7
Implementing104/104129/132105/122199/19873/83
Done196/196132/13593/96106/11316/16

Project = "iQIES Program Board "  AND issuetype = 10000 AND Status changed to Done during (2022-01-19, 2022-04-19)  ORDER BY key DESC

EQRSPI 14PI 15PI 16PI 17PI 18PI 19
Implementing16/1630/3036/3627/2918/2116/16
Done10/1025/2532/3227/3127/2919/19

Project = " End-Stage Renal Disease Quality Reporting System" AND issuetype = 10000 AND Status changed to Done during (2021-04-04, 2021-07-20) --Update status and dates of PI

Report Name: Work Delivered by Category per PI

Dashboard: iQIES program dashboard

Legend: EazyBI count/JQL count

Validation Date: 8/31/2022

Validator: Seth Evans

iQIES

PI3PI4PI5PI6PI7

ChartJQL% DiffChartJQL% DiffChartJQL% DiffChartJQL% DiffChartJQL% Diff
Total190118801.10%18761894-0.96%18201840-1.10%18301832-0.11%810830-2.47%
Story126212451.35%12941315-1.62%14311450-1.33%13201325-0.38%621638-2.74%
Spike2222220.00%2122091.42%155158-1.94%1371342.19%6365-3.17%
Bug4174130.96%3703700.00%2342320.85%3763701.60%126127-0.79%
JQL Query:
PI3Project in ("iQIES Enigma", "iQIES HCD", "iQIES Frontiers", "iQIES Bohemian Rhapsody (DevOps)", "iQIES Dune (CLIA)", "iQIES FACT (Data and Backend)", "iQIES Outlander", "iQIES PA Reports", "iQIES QMIR Data", "iQIES SAS Viya / Dashboards", "iQIES S&C Reports", "IQIES SNOOPY", "iQIES Stargate", "iQIES Immeasurable", "iQIES The Misfits", "iQIES The Shop", "IQIES Woodstock")  AND issuetype in (Story, Spike, Bug) AND resolutiondate >= 2021-07-07 AND resolutionDate <= 2021-10-12
PI4Project in ("iQIES Enigma", "iQIES HCD", "iQIES Frontiers", "iQIES Bohemian Rhapsody (DevOps)", "iQIES Dune (CLIA)", "iQIES FACT (Data and Backend)", "iQIES Outlander", "iQIES PA Reports", "iQIES QMIR Data", "iQIES SAS Viya / Dashboards", "iQIES S&C Reports", "IQIES SNOOPY", "iQIES Stargate", "iQIES Immeasurable", "iQIES The Misfits", "iQIES The Shop", "IQIES Woodstock")  AND issuetype in (Story, Spike, Bug) AND resolutiondate >= 2021-10-13 AND resolutionDate <= 2022-01-18
PI5Project in ("iQIES Enigma", "iQIES HCD", "iQIES Frontiers", "iQIES Bohemian Rhapsody (DevOps)", "iQIES Dune (CLIA)", "iQIES FACT (Data and Backend)", "iQIES Outlander", "iQIES PA Reports", "iQIES QMIR Data", "iQIES SAS Viya / Dashboards", "iQIES S&C Reports", "IQIES SNOOPY", "iQIES Stargate", "iQIES Immeasurable", "iQIES The Misfits", "iQIES The Shop", "IQIES Woodstock")  AND issuetype in (Story, Spike, Bug) AND resolutiondate >= 2022-01-19 AND resolutionDate <= 2022-04-19
PI6Project in ("iQIES Enigma", "iQIES HCD", "iQIES Frontiers", "iQIES Bohemian Rhapsody (DevOps)", "iQIES Dune (CLIA)", "iQIES FACT (Data and Backend)", "iQIES Outlander", "iQIES PA Reports", "iQIES QMIR Data", "iQIES SAS Viya / Dashboards", "iQIES S&C Reports", "IQIES SNOOPY", "iQIES Stargate", "iQIES Immeasurable", "iQIES The Misfits", "iQIES The Shop", "IQIES Woodstock") AND issuetype in (Story, Spike, Bug) AND resolutiondate >= 2022-04-20 AND resolutionDate <= 2022-07-19 ORDER BY status DESC
PI7Project in ("iQIES Enigma", "iQIES HCD", "iQIES Frontiers", "iQIES Bohemian Rhapsody (DevOps)", "iQIES Dune (CLIA)", "iQIES FACT (Data and Backend)", "iQIES Outlander", "iQIES PA Reports", "iQIES QMIR Data", "iQIES SAS Viya / Dashboards", "iQIES S&C Reports", "IQIES SNOOPY", "iQIES Stargate", "iQIES Immeasurable", "iQIES The Misfits", "iQIES The Shop", "IQIES Woodstock") AND issuetype in (Story, Spike, Bug) AND resolutiondate >= 2022-07-20 AND resolutionDate <= 2022-10-11 ORDER BY status DESC



Report Name: Work Delivered by Category per PI

Dashboard : Enterprise Program Dashboard

Legend: EazyBI count/JQL count

Validation Date: 9/7/22

Validator: Marc Santini

iQIES

PI3PI4PI5PI6PI7

ChartJQL% DiffChartJQL% DiffChartJQL% DiffChartJQL% DiffChartJQL% Diff
Total190118801.10%18761894-0.96%18201840-1.10%18291832-0.11%810830-2.47%
Story126212451.35%12941315-1.62%14311450-1.33%13201325-0.38%621638-2.74%
Spike2222220.00%2122091.42%155158-1.94%1341340%6365-3.17%
Bug4174130.96%3703700.00%2342320.85%3753701.60%126127-0.79%


iQies numbers improved or stayed the same in all cases!

EQRSPI 15PI 16PI 17PI 18PI 19

Report
JQL 
StDev
Report
JQL
StDev
Report
JQL
StDev
Report
JQL
StDev
Report
JQL
StDev
Total
700699.02%731733.07%8588174.8%7817494.6%4785055.3%
Story
5675670%523527.08%6936614.7%6536293.8%3653865.4%
Bug
13113008%1931911.1%1541493%1171096.8%1071135.3%
Spike
220%880%6350%770%220%
Enabler000%770%440%6433.3%440%

I call this acceptable, although I am curious why the StDev jumped up to around 5% starting in PI 17. The high diffs are small issue counts and can be researched

PI5

Project in (EQRS, EQRSCI, EQRSD, EQRSARCH, EQRSEDSM, EQRSONBRD, EQRSMD, EQRSMS, EQRSPRTL) AND issuetype in(Story, Spike, Bug, Enabler) AND resolutiondate >= 2021-07-20 AND resolutionDate <= 2021-10-12

PI6Project in (EQRS, EQRSCI, EQRSD, EQRSARCH, EQRSEDSM, EQRSONBRD, EQRSMD, EQRSMS, EQRSPRTL) AND issuetype in(Story, Bug, Spike, Enabler) AND resolutiondate >= 2021-10-13 AND resolutionDate <= 2022-01-18
PI7Project in (EQRS, EQRSCI, EQRSD, EQRSARCH, EQRSEDSM, EQRSONBRD, EQRSMD, EQRSMS, EQRSPRTL) AND issuetype in(Story, Spike, Bug, Enabler) AND resolutiondate >= 2022-01-19 AND resolutionDate <= 2022-04-12
PI8Project in (EQRS, EQRSCI, EQRSD, EQRSARCH, EQRSEDSM, EQRSONBRD, EQRSMD, EQRSMS, EQRSPRTL) AND issuetype in(Story, Spike, Bug, Enabler) AND resolutiondate >= 2022-04-13 AND resolutionDate<= 2022-07-05
PI9Project in (EQRS, EQRSCI, EQRSD, EQRSARCH, EQRSEDSM, EQRSONBRD, EQRSMD, EQRSMS, EQRSPRTL) AND issuetype in(Story, Spike, Bug, Enabler) AND resolutiondate >= 2022-07-06 AND resolutionDate<= 2022-09-27


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