Board metrics are assembled by hand
ARR, burn and retention get rebuilt in a spreadsheet before every board meeting, and the definition drifts each time.
By company type · Startups & scale-ups
Move fast without
Move fast without
breaking the numbers
You added a tool every time you had a problem. Now board metrics take three days to assemble and two people disagree on ARR. SCIKIQ gives you a governed foundation without a platform team.
33tools in a typical Series B estate
3of them in a governed view
60days to a live 360 view
0platform hires required
01A day in the role
What the founder sees
before the board call
One governed brief instead of nine dashboards — every number traced to its source system, every recommendation showing its reasoning.
Good morning, DivyaMonday · 9:30 AM
Company health82▲ 5AI confidence92%Agents working5liveDecisions need you2
Today’s brief
You are tracking to beat the quarterly ARR plan by about 6%.
Growth accelerated as enterprise pipeline expanded and activation kept improving. Net revenue retention is stable, though two strategic accounts show early renewal risk.
If only one decision is made today, approving the enterprise pricing change is expected to generate the highest impact.
Confidence92%
Company health
- ARR+6.2%Ahead of plan
- Net revenue retention+3ptExpansion holding
- Burn multiple− 0.4xMore efficient
- Runway+3 monthsExtended
- Pipeline coverage+18%Enterprise led
- Activation+7.4%Onboarding fixed
What changed
- Enterprise pipeline +$2.1MTwo logos entered proposal stage early
- Renewal risk (Acme) $180KUsage down 22% since the sponsor left
- Product activation +18%Time-to-first-value fell by four days
- New logo Fortune 100Inbound, routed to the enterprise motion
- CAC payback − 3 monthsSpend shifted to the converting segment
- Board metric drift − 100%ARR now has one governed definition
Decisions
Approve the enterprise pricing change
Impact+$640K ARR
Confidence94%
WindowBefore the board call
Prioritise enterprise readiness work
Prevents2 stalled deals
Confidence86%
WindowThis sprint
AI reasoning — why the pricing change?
- Enterprise deals are closing at a discount the plan did not assume
- Win rate held through the last two price tests
- Pipeline coverage is sufficient to absorb a slower top of funnel
- 12 comparable changes lifted ARR per account by 19% on average
Recommendation Approve today.
AI has been working
- Reconciled billing against CRM to one ARR figure
- Scored 340 accounts for renewal risk
- Recomputed NRR on the governed customer record
- Modelled three pricing scenarios
- Rebuilt the board pack from live data
- Traced every board metric to its source
WhyEnterprise deals close below the price the plan assumed
Why nowThe board call sets the next two quarters of plan
Evidence12 comparable changes lifted ARR per account 19%
Confidence94% · based on two prior price tests
AlternativeHold price — models a 9% ARR shortfall to plan
Ask me anything — or tell me the outcome you’re trying to achieve
Illustrative founder view · sample data
02The estate
Nobody chose this.
It accumulated.
No single decision created the sprawl — each system was reasonable on the day it was bought. The cost only shows up when someone asks a question that crosses them.
Not in a governed view
In a governed view
View the data as a table
| Year | Governed | Not governed | Total systems |
|---|---|---|---|
| 2020 | 0 | 4 | 4 |
| 2021 | 1 | 6 | 7 |
| 2022 | 1 | 11 | 12 |
| 2023 | 2 | 16 | 18 |
| 2024 | 2 | 23 | 25 |
| 2025 | 3 | 30 | 33 |
03The pressure
What this costs a
startup business
No one owns the definition
Sales, finance and product each compute the same metric differently, so the number changes depending on who is asked.
You cannot afford a platform team
A data platform hire costs more than the tools, and a two-year build is longer than your runway.
04What changes
One governed view,
and four things follow
01
Connect what you already run
187+ connectors reach your CRM, billing, product analytics and warehouse in place. Nothing is replatformed and nothing new is hired.
02
Define each metric once
ARR, churn, burn and retention get one governed definition, so the board pack and the product dashboard agree by construction.
03
Answer investors in plain language
The copilot resolves questions against governed definitions, so diligence questions get an answer with lineage, not a scramble.
04
Grow without re-platforming
Because the governed layer sits over your sources, adding a system later does not restart the project.
05What it runs on
Built on Customer 360
This starts with Customer 360 — golden record, churn and lifetime value — assembled over your existing systems with no replatform.
- Data Hub — connect every source through 187+ connectors
- Data Product Factory — package metrics as governed products
Want to see your own estate mapped?
Thirty minutes on your actual sources — no pitch, no form maze.
Frequently asked questions
Do we need a data engineer to run SCIKIQ?
No. Connection and governance are no-code, which is the point for a team that cannot justify a platform hire. Engineering effort goes into the product rather than into pipelines.
Will this scale when we grow?
The governed layer sits over your sources rather than replacing them, so adding a system later extends the model instead of restarting the project.
How fast can we get investor-grade metrics?
Typical deployments reach a live 360 view in about 60 days. Most startups begin with the handful of metrics that appear in the board pack.