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IBM Sustainability Software - Ideas Portal


This portal is to open public enhancement requests against the products and services belonging to IBM Sustainability Software. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).


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Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.

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ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.

Status Under review
Created by Guest
Created on Nov 12, 2025

Full suite of data validation rules for manual data caputre in surveys referencing data in Envizi core platform


Currently there are only simple validation rules that can be applied to data being manually captured in surveys and they can only reference data entered in other questions captured in that one survey. ---> https://w3.ibm.com/services/lighthouse/wikis/view/33a12059-0ce7-436a-977e-f1128c151314/698be31f-f5e0-42d6-a6af-8542f84304d2

Surveys are a great way for users to capture multiple data points at once in one single view. - It would be helpful to have the full suite of validations rules availabilie in surveys that are available at the Account Style level in the Envizi core platform. Essentially we would like to have this functionality available in survyes ----> https://ibm-ai-apps.ideas.ibm.com/ideas/ENVIZIESG-I-85

We also need the survey validation rules ot be able to refernece data already in Envizi core platform using linked Accounts.

It would also be useful to view data captured in previous surveys to help with data entry, similar to the data capture view in a kanban board where you have trends shown on the righthand side

Idea priority High
Needed By Month
IBM Wide Managed Tags: Ideas Blocker to Sell, Market: EMEA - UKI, Product: SaaS, Source: Customer, Source: IBM Client Engineering, Type: Data Integrity, Type: Functional