Discovery calls, demos, negotiations, kick-offs and quarterly reviews are one continuous relationship. meetapp.ai scores it from what was actually said — and keeps what was promised during the sale attached to the client it was promised to.
No pipeline hygiene, no post-call admin, no asking a rep to grade their own deal. The objection nobody has answered in three calls is a fact, not a feeling.
Recording is becoming the default rather than the exception. The platforms ship it, note-takers join whether or not anyone invited them, and regulated sectors already require it. Within a few years most organisations will be sitting on thousands of hours of the richest data they have ever produced — and no structured way to use a minute of it.
The things that make a team effective are said out loud, once, and then lost. Software has never been able to see any of it — and none of it is about watching people.
You get one per session, it reads well once, and nothing accumulates. The tenth is no more useful than the first.
Recurrence, follow-through and drift only exist across sessions. No single recap can hold them, however good it is.
Somebody has to read them all and decide what it means. That is the job that was supposed to go away.
The scarce thing was never the recording, and in a few years it will be obvious that it never was. What is scarce is the thing that turns ten thousand hours of conversation into a live picture of the work you can act on — configured to your business, evidenced sentence by sentence, and honest about what it still does not know. That gets built before the recordings arrive, not after.
At signature the questions change completely — from "will this close" to "is this working" — so the dimensions, the axis and the cadence all change with them. What does not change is the counterparty. The room carries across, which is why the promise made in a demo is still there to be checked against at the first quarterly review.
A deal is a room. Every call lands in it, the buyer's own words drive the score, and the pipeline board shows which deals are real and which are being kept warm by hope.
One room per account. QBRs, service reviews and escalations land in it, and the board shows which clients are healthy, which are drifting, and which have simply gone quiet.
Both boards count silence against the score. A deal nobody has spoken to since the demo and a client nobody has called since onboarding are the same failure, and neither can render green on a full set of old evidence.
Every business judges health differently. meetapp.ai is configured to the dimensions and weights you already argue about in your own reviews — then holds every deal to them consistently, across the whole book.
These are not invented dashboard metrics. Clarity of ownership, participation, alignment and follow-through are long-established constructs in organisational research. What has always been missing is a way to measure them without asking people to fill in a survey about themselves — self-reported, months late, and answered the way people wish things were. Reading the conversation measures the behaviour instead.
Commitments made in the room, and whether they land — on both sides.
Whether you have been in a room with everyone who signs, blocks or uses.
Whether the client has said, in their own words, what problem this solves.
How much of the conversation the client held — counted per session, not inferred.
Concerns raised and still open, and how many sessions they have survived.
Whether price, terms and the procurement route are actually settled.
Weights sum to 100. The overall score is the weighted sum of what's visible — no hidden adjustments, no black box. Change what you measure and the rooms start listening for it.
Your board isn't a portfolio unless you call it one. It's a function, a pipeline stage, a client lifecycle, a delivery phase — whatever Monday morning is organised around, under whatever word your people already use: portfolio, book, programme, pipeline. Pick the axis and the board regroups: same rooms, same scores, triaged for whoever's accountable.
Filter the book, sort it worst-first, open a row, click a dimension through to the quote behind it, generate this week's digest. Every room here is the same engine reading a different conversation. Fictitious data, real engine.
A deal is a room. Every call lands in it, the buyer's own words drive the score, and the pipeline board shows which deals are real and which are being kept warm by hope.
Every dashboard tells you what it knows. This one works on what it doesn't. The gap scanner runs continuously across the whole book, and everything it finds has an owner and a route home.
The agenda called for it; the meeting didn't reach it.
Asked for, acknowledged, not delivered.
Last signal is older than this dimension tolerates.
A commitment with no name or no date against it.
As an item to Ask, Confirm or Bring — leading the meeting.
As a request with a reply scaffold; the reply closes it.
A chase with the original ask quoted back.
A request that goes unanswered for three weeks doesn't leave the score unchanged — it lowers confidence in it. Data quality erodes the longer you go without the next update, and that erosion belongs on the screen, not in someone's head.
Nobody has to remember to open the board. Every Monday meetapp.ai scans the book, finds what slid, what's gone quiet and what's still owed, and emails each owner their shortlist — with a one-click path into the entity and a reply scaffold for anything it needs back. Replies close the loop on their own.
The demo dashboard computes this digest live from the book you're triaging — it isn't a mockup.
Fictitious entities. Figures illustrative.
CRM hygiene is a second job, done from memory on a Friday afternoon
Forecast confidence rests on how optimistic each rep is feeling that week
The first sign of churn is the renewal conversation that does not get booked
What was promised in the sale is reconstructed from inboxes when delivery disputes it