Here s a straightforward way to get it done:
Work out your report structure first, before drafting any questions.
Split your framework into 3 7 clear, distinct dimensions.
Define measurable indicators and set meaningful weightings.
For the full breakdown and examples:
@form_lm Interesting angle on turning expertise into a scalable system instead of repeating the same consultation over and over. How are experts validating that the AI-generated reports and follow-up guidance stay aligned with their unique frameworks and methodologies?
@nicole_hynek
Thanks for your excellent question—it’s a fairly complex topic, so let me break it down briefly below.
Our assessments follow standard industry scale logic: link questions to 3–5 scoring dimensions, calculate scores, then map results to conclusions. We offer Likert, STAR and yes-no question modules.
FormLM is an all-in-one platform with 20+ question types. It auto-generates PDF assessment reports via LLM and supports expert consulting, letting users build full assessment tools on-site.
To fix AI accuracy flaws, experts use Report Builder’s separate widgets with custom AI fill rules to avoid redundant AI output; rule-based logic is also available.
We keep improving the product and appreciate your feedback!
Check out our newly launched free templates. You can preview forms, assessment tools and more directly. We are also working on additional templates, which will be released soon.
https://formlm.me/home/template.html