Wow — this resonates. I see the same pattern when writing Incident Reports for major application outages. The structure, framing, and level of detail directly affect accountability, learning, and downstream decisions. A true “DocOps” layer—standardized, outcome-aware documentation across incident reports, meeting notes, and internal docs—could realistically save millions of man-hours across large enterprises while improving decision quality, not just efficiency.
How far — In simple, if anyone drafts any new doc, it should follow a specific structure/template . In my experience being in Application IT Support lead, we draft 100s of emails , 10s of incident reports/document, 100s of chat on MS Teams app, multiple sharepoint , serviceNow incidents every month and sometimes rewriting them in multiple ways. To me , its inefficient to document them multiple times via various modes. If a docOps agent can be built by integrating it to natural language processing into can be more productive , more streamlined and efficient.
Example - Explaining a global outage to various stakeholders ( both tech& business) in their own layman terms.
Seriously—so elegantly written. When I hit “Documents as a business problem…,” I grabbed some green tea and read the whole thing at a slow pace. Thank you!
Thanks so much -- it's astonishing how much time everyone spending creating and consuming documents and how little time we spend thinking about making them better (in a systematic way).
This piece really resonated with me. I’ve been reading and creating RFPs for over twenty years, and during that time the style, structure, and dry delivery have barely evolved. I’d love to crack the code and create a document that actually delivers a dopamine rush.
Or at least the executive summary. We may want to think about what the persuasive versus purely informative portions of business documents are. What are the parts that we need to craft by hand to establish a human connection and what are the parts (e.g. specifications, performance results) that be assembled by machines using a DocOps pipeline?
Wow — this resonates. I see the same pattern when writing Incident Reports for major application outages. The structure, framing, and level of detail directly affect accountability, learning, and downstream decisions. A true “DocOps” layer—standardized, outcome-aware documentation across incident reports, meeting notes, and internal docs—could realistically save millions of man-hours across large enterprises while improving decision quality, not just efficiency.
You raise an interesting point: how far does DocOps go?
I might have hypothesized that you wanted to drive to structured data (rather than documents) in doing Problem Management -- but I could be wrong!
How far — In simple, if anyone drafts any new doc, it should follow a specific structure/template . In my experience being in Application IT Support lead, we draft 100s of emails , 10s of incident reports/document, 100s of chat on MS Teams app, multiple sharepoint , serviceNow incidents every month and sometimes rewriting them in multiple ways. To me , its inefficient to document them multiple times via various modes. If a docOps agent can be built by integrating it to natural language processing into can be more productive , more streamlined and efficient.
Example - Explaining a global outage to various stakeholders ( both tech& business) in their own layman terms.
Seriously—so elegantly written. When I hit “Documents as a business problem…,” I grabbed some green tea and read the whole thing at a slow pace. Thank you!
Thanks so much -- it's astonishing how much time everyone spending creating and consuming documents and how little time we spend thinking about making them better (in a systematic way).
This piece really resonated with me. I’ve been reading and creating RFPs for over twenty years, and during that time the style, structure, and dry delivery have barely evolved. I’d love to crack the code and create a document that actually delivers a dopamine rush.
Or at least the executive summary. We may want to think about what the persuasive versus purely informative portions of business documents are. What are the parts that we need to craft by hand to establish a human connection and what are the parts (e.g. specifications, performance results) that be assembled by machines using a DocOps pipeline?