Pattern identified
Duplicate Data Entry
184 people are entering the same information more than once.
184
Related signals
9
Departments
1,420
Est. hours / month
6
Systems involved
HIGH
Cross-department relevance
What people are experiencing
“I enter the same information into three systems.”
“The intake form is on paper, so everything gets typed in a second time.”
“We re-key vendor information that already exists in the finance system.”
“Two departments collect almost the same information separately.”
20 submissions in this prototype dataset describe this pattern.
What connects these?
AI has identified recurring characteristics across these submissions. People decide which of them matter.
- Unshared intake
- Separate forms collect overlapping information independently.
- Re-keying
- People retype information that already exists somewhere else.
- Shadow records
- Local spreadsheets appear where the system of record is too slow.
- Drift risk
- The same fact is stored in several places and diverges over time.
Accept the constraint. Find the possibility.
Can't change — right now
- Existing statewide platforms
- Current vendor contracts
- Reporting obligations
- Security requirements
- Current staffing levels
Can change
- How information moves between systems
- How repetitive work is performed
- How reports are generated
- How exceptions are surfaced
- How teams share information
Illustrative demonstration data