The decision workflow

Your last big decision is everywhere except on the record.

Cognitivv PM is a seven-step workflow that forces root cause, cost, and explicit approval before anything reaches delivery. What comes out is a decision record with a name on it.

#proj-atlas · Slack

wait who approved the scope change?

Calendar

Decision sync #4 · 32 min · no notes

Drive

decision_final_v7_FINAL2.docx

Email

RE: RE: RE: timeline slip, thoughts?

Sticky note

ask Sarah? she was in the room

Tracker

ATL-482 · blocked · waiting on decision

Recording

Weekly sync · 58:12 · never watched

Notes app

“we said we'd revisit this in Q3”

Everywhere it lives today. One record. One owner. One place.
Backed by Georgia Tech's CREATE-X Cognitivv Corporation

The gap

There's a difference between “we decided” and “it's decided.”

Teams start delivery before they've found the root cause, agreed on the problem, weighed the evidence, or gotten anyone to actually sign off. The call gets made at feature level. Nobody checks what it costs, whose job it changes, or who owns it when it goes sideways.

It was decided at feature level

Scope, cost, and the teams downstream never entered the conversation. The decision was about a feature, so the thinking was too.

The evidence stayed in someone's head

Assumptions, precedent, and the risks people privately worried about never got written down. Six weeks later the whole thing gets re-litigated from memory.

Nobody owns it

When it needs defending there's a thread, not a name. That's the moment teams discover the decision was never really made.

PMs are seen as schedulers and communicators, not critical thinkers. Head of engineering, discovery conversation

That's not a talent problem. It's a missing step. Cognitivv PM is the step.

The workflow

Seven screens. Each one refuses something.

One question at a time. Nothing here is a form you can tab through, every screen has a thing it won't let you skip, and those refusals are the product.

Step 1 of 7 · Human

Define the problem

A blank field and a hard floor: twenty characters, and it has to say who's affected and what isn't working today. No template, no picklist. If you can't write the problem down, you don't have one yet.

Refuses: anything under 20 characters. A problem statement that short isn't specific enough to act on.

Step 2 of 7 · Human

What will this cost us to do?

Three questions. Roughly what share of the team's capacity does this consume, how long before it delivers value, and what will it cost to deliver. Answer them and the product tells you who's allowed to approve it. This is the screen everything else hangs off.

Refuses: to treat blanks as zeroes. Skip this screen and the required approval level is undetermined, which means nobody can approve it at all.

Step 3 of 7 · Human

Assess change impact

Which areas actually change for the people who have to live with this: processes, systems and tools, job roles, required behaviors, reporting structure. This is also where the training gaps at the end come from.

Refuses: an empty answer. “None of the above” is available and exclusive, but you have to pick it on purpose.

Step 4 of 7 · Human

Teams and partners to consider

Eight rows. Adjacent product teams, support, sales, legal, security, data, external partners, downstream customer-facing. You rule each one in or out by hand, and you can't move until all eight have an answer.

Refuses: a bulk action. Teams default to the stakeholders they already know, a “select all” button would hand that reflex right back.

Step 5 of 7 · AI + human

Add context and evidence

The five things the next person will need and won't have: assumptions, systems involved, precedent, key risks, target state. Claude can draft a first pass from what you've already entered, and every word of it is yours to edit.

Refuses: to overwrite you. A suggestion never lands on top of something you typed, and this is the one screen allowed to fail out loud, because here you asked for help rather than depending on it.

Step 6 of 7 · Human

Review and approve

Five conditions before Approve does anything: the confirmation is checked, an owner is named, the decision reads like a decision, the cost is estimated, and above team-lead level someone confirms that the named owner actually has authority to commit that capacity. The button tells you which ones are still missing.

Refuses: to stay approved. Edit anything on this screen afterward and the approval is invalidated. You re-confirm, or it isn't approved.

Step 7 of 7 · AI + human

Decision record and next steps

Four artifacts on approval: the record itself, a kickoff summary, preliminary PRD input, and the training gaps your change impact just created. Editable until you save. Then it's logged, timestamped, and attached to a name.

Refuses: to let a model write the record. It's assembled from fields you already reviewed and approved, so an AI outage can't degrade the one artifact this product exists to produce.

app.cognitivv.com/pm/decisions/new

Step 1 of 7

Hey there! Burning the midnight oil, are we?

Define the problem

Describe the problem you're solving in 1–3 sentences. Be specific about who is affected and what's not working today.

e.g., “Customer onboarding takes 14 days on average because manual compliance checks are done in three separate systems. This delays time-to-value and increases support load.”

0 / 1000

Add at least 20 characters. Next

Step 2 of 7

What will this cost us to do?

For each dimension, choose how much this decision will demand of the team.

Delivery effort Share of team capacity
10%35%60%
Time to land Before it delivers value
2 weeks6 weeks6 months
Budget Cost to deliver
Under $10k$10k–$100kOver $100k

Step 3 of 7

Assess change impact

Select all areas that will be affected by this decision.

Processes Systems/tools Job roles Required behaviors Reporting structure None of the above
Select at least one area. Next

Step 4 of 7

Teams and partners to consider

Review the list below. For each item, confirm whether it is affected. You must explicitly rule out each one.

Adjacent product teamsAffected
Customer support / successAffected
Sales / account managementNot affected
Legal / complianceNot affected
Security / privacyAffected
Data / analyticsNot affected
External partners / vendorsUnanswered
Downstream customer-facingUnanswered
Answer all 8 rows before continuing. 2 remaining. Next

Step 5 of 7

Add context and evidence

Provide the key information that this decision is based on. You can edit anything later.

Assumptions
Migration volume stays under 2k records per account.
Systems
Onboarding service, billing, the compliance checker.
Precedent
Has this team decided something like this before?
Key risks
What could go wrong, and how badly?
Optional, but the next person will thank you. Suggest from my inputs

Step 6 of 7

Review and approve

You must explicitly approve before this decision is logged.

I confirm that the impact, stakeholders, evidence, assumptions, ownership, and rationale have been reviewed and are accurate.
I confirm that the named owner has the authority to commit this level of capacity.
Decision owner
Priya N.
Confirm the owner has authority to approve. Approve

Step 7 of 7

Decision record and next steps

This is your durable decision record and input to the PRD process. Edit anything before saving.

Decision record

Problem, decision, rationale, impact, owner, timestamp.

Project kickoff summary

What the delivery team needs on day one.

Preliminary PRD input

Goals, scope, high-level requirements, open questions.

Training gaps

2 areas flagged from your recorded change impact.

Logged, timestamped, and attached to a name. Save decision

Three safeguards

Structure is easy. Teeth are the hard part.

Any tool can hold a form. These are the three places Cognitivv PM stops being a form and starts being a gate.

Safeguard 01

The blind-spot list has no bulk action

Eight teams. Every one gets ruled in or out by a person, one row at a time. There is no “select all,” no default, and no way past the screen with a row left blank.

This is deliberate friction. Teams systematically default to the stakeholders they already know, and the ones they forget are the ones who find out in the release notes. A bulk action would restore exactly the reflex this screen exists to break.

Teams and partners to consider · 6 of 8 answered

Adjacent product teamsAffected
Customer support / successAffected
Sales / account managementNot affected
Legal / complianceNot affected
Security / privacyAffected
Data / analyticsNot affected
External partners / vendorsChoose one.
Downstream customer-facing teamsChoose one.

Safeguard 02

The cost estimate decides who is allowed to approve

Most tools collect a cost estimate and print it on a record nobody reads. Here the number has a consumer. Delivery effort, time to land, and budget derive an approval tier, and that tier gates the approve screen.

Leave a field blank and the tier is undetermined, which means the decision cannot be approved by anyone. Blanks are never scored as zeroes, because the cheapest way to reach the team-lead tier would otherwise be to skip the screen entirely.

Try it · approval tier, derived live

TierWhen
Cannot be determinedAny of the three fields is blank. Checked first, so blanks are never scored as zeroes.
ExecutiveEffort is 40% or more, or time to land is 180 days or more, or the budget band is over $100k.
Team leadEffort under 15%, and under 30 days, and under $10k.
Capacity ownerEverything else.

Approval required

Capacity owner

This commits 35% of the team for 6 weeks. That needs sign-off from whoever owns that capacity, not a team lead.

Safeguard 03

Approval doesn't survive an edit

The approve button reads five conditions, and it names the ones you haven't met instead of just sitting there greyed out. Check the box, name an owner, write a real decision, estimate the cost, and above team-lead level, confirm the owner can commit that capacity.

Change any of it after approving and the approval is gone. Not flagged, not stale, gone. You re-confirm and approve again, or the decision isn't approved. The whole claim of the product is that a decision isn't a decision until someone owns it, so the gate can't be softer than that.

Review and approve

I confirm that the impact, stakeholders, evidence, assumptions, ownership, and rationale have been reviewed and are accurate.
I confirm that Priya N. has the authority to commit this level of capacity.
Check the confirmation box to approve. Approve

On approval

One yes. Four artifacts.

Everything downstream is generated from what you already approved, and all of it is editable before you save.

01 · Deterministic

The decision record

Problem, decision, rationale, impact, owner, approval timestamp. Never model-generated, assembled from fields you reviewed and approved, so an AI outage can't degrade it.

02 · Drafted

Project kickoff summary

What the delivery team needs on day one, written from the record rather than from a meeting nobody took notes in.

03 · Drafted

Preliminary PRD input

Goals, scope, high-level requirements, open questions. Input to your PRD process, not a replacement for it. We're clear about that on purpose.

04 · Derived

Training gaps

Mapped straight from your recorded change impact. Change what people are required to do and you've created work nobody has scheduled. This is where it stops being invisible.

Why the record is never generated

The decision record is the durable artifact the whole product exists to produce. If a model wrote it, then a bad day at the API is a bad day for your audit trail. So it isn't written by a model at all. It's assembled from fields you've already read and signed off on.

The same logic runs through the rest of the flow. Every AI-drafted field has a deterministic fallback that produces real, usable content, which means the entire workflow runs with no API key configured. The one place that's allowed to visibly fail is the optional Suggest from my inputs button, because that's the one place you asked for help rather than depending on it.

Scope, stated plainly

What this is, and what it isn't.

The decision workflow is one stage. The fuller PRD and spec process happens after it, separately, and we'd rather say so here than let you find out in month two.

What it is

  • A decision gate that runs before delivery starts
  • A durable record with an owner and a timestamp
  • A cost and change-impact assessment with teeth
  • A forced pass over the stakeholders you'd have skipped
  • Preliminary input to your PRD process
  • Training gaps, surfaced at the moment they're created

What it isn't

  • A full PRD or spec authoring tool
  • API contracts, error states, or button-level UI behavior
  • Engineering execution planning
  • Meeting automation of any kind
  • An integration hub. Entry is manual today, on purpose
  • A substitute for judgment. It structures the call; it doesn't make it

Where the AI sits

AI drafts. You decide.

A model is useful for the first pass at prose nobody wants to write. It is not useful as the thing that decides your quarter.

Nothing is auto-approved

Ever. Every AI or combined output is human-editable before it's final, and the approve gate is a person doing a person's job.

A suggestion never overwrites you

If you typed it, the draft goes somewhere else. Your words are the ones that survive a conflict.

It runs with no API key

Every drafted field has a deterministic fallback that writes real content, not a placeholder and not an error.

The record isn't generated

The durable artifact is assembled from approved fields. A model outage costs you polish, never the record.

Where this goes

What's shipped, and what's next.

We'd rather show you the roadmap than imply everything already exists.

Now

The seven-screen workflow

Manual entry, the hard approval gate, the derived approval tier, and the decision log. This is what exists today.

Next

Async decision routing

Assign an approver, request a response, track its status, without defaulting to a meeting. Stakeholders often finalize things before the PM is deeply involved, and a calendar invite is a poor substitute for a request that can be tracked.

Then

Data sources, if manual entry is the bottleneck

Integrations get built when usage shows they're the constraint, not because a competitor's feature grid has a row for them.

Also

Training gaps hand off to the training platform

A decision that changes what people are required to do creates work nobody scheduled. Cognitivv's AI-native training platform is the other half of that sentence, and it's live today, including a compliance build for dental practices.

The ask

Decisions, engineered.

We want to run Cognitivv PM with a small number of teams and watch one thing: whether a structured decision gate actually reduces the decisions that get quietly reversed. If that's a problem you recognize, we'd like to talk to you.

Backed by Georgia Institute of Technology's CREATE-X.