Finalit · Prediction intelligence

app.finalit.ai

+ Lens+ Context

ContextWho it’s for, what it’s for, and anything Finalit should know. Never part of the draft.

Channel · 48k followers, money tipsAdded

Most of them watch on their phones, sound off.Add

Video script: what a year of saving taught me

HOOK: I saved £4,000 last year on a £21k salary. Here’s exactly how.

0:04 So, a bit of background. Last January I was completely broke, like checking my balance before buying a meal deal broke.

0:10 I decided to try saving for a whole year, and honestly I didn’t think I’d stick to it.

0:16 Tip one: make a budget. I know, everyone says it, but I actually sat down with a spreadsheet every Sunday.

0:24 Tip two: stop buying coffee out. That alone was about forty pounds a month for me.

0:31 Tip three: move your savings the day you get paid, before you can spend it.

0:38 Tip four: start investing early, even if it’s ten pounds a month.

0:45 By December I had four thousand pounds I didn’t have before. If I can do it, so can you.

0:52 Let me know in the comments what you think, and follow for more money tips!

166 wordsCopy

Prediction 001Short video script, money tips, about a minute

Viewers stayeven

On short video, a hook with a number holds the first seconds; the middle decides the rest.

The hook holds them, then the tips are ones they’ve heard, so half are gone by 0:20.

Decided: Viewers scrolling the feed: the hook, then again at the first tip.
Assumes: The £4,000 is on screen in the first frame. Without it, this drops to unlikely.
Early sign: Average watch time above 20 seconds in the first hour means it held.

Who’s still watchingOf 10,000 who see it

100%50%0%Sags at tip one

0s2s5s15s30s55s

What would change the outcome

01Open on the tip nobody does: pay yourself first→ Viewers stay · Likely

02Cut the coffee tip, everyone has heard it→ Viewers stay · Likely

03Show the spreadsheet on screen at 0:16→ Viewers stay · Likely

What if it went to someone else, or said less?

app.finalit.ai

+ Lens+ Context

ContextWho it’s for, what it’s for, and anything Finalit should know. Never part of the draft.

Incident report.pdfPDF · 4 pages✕

Audience · 40,000 customers, UK and EUAdded

Goes out · Email and status page, Monday 9amAdded

Most of them read email on their phones.Add

An update on last week’s incident

Dear customers,

On Tuesday, we identified unauthorised access to part of our systems. We take the security of your data extremely seriously.

Out of an abundance of caution, we have reset some passwords and engaged leading experts to support our investigation.

Our teams have been working around the clock, and we have taken immediate steps to further strengthen our defences.

At this stage, we have no evidence that your information has been misused. We are in contact with the relevant authorities and will keep you updated as our investigation continues.

We apologise for any inconvenience this may have caused. Our commitment to you has never been stronger.

If you have any questions, please visit our help centre.

Kind regards, The Northbeam team

128 wordsCopy

Prediction 001Breach statement to 40,000 customers

Trust holdsunlikely

Breach statements that never say what leaked tend to draw more anger, not less.

Customers assume the worst out loud: it reads as PR, and nothing says what was taken.

Decided: Customers first, then the press, within 48 hours of it going out.
Assumes: That card data was not taken. Saying so, plainly, moves this to even.
Early sign: Replies quoting “we take security seriously” back at you.

What the backlash looks likeOf 40,000 customers

Contact support5,60014%

Post about it publicly2,4006%

Close their account1,2003%

0%5%10%15%20%

What would change the outcome

01Say exactly what was taken, and what was not→ Trust holds · Even

02Cut “we take security seriously”→ Trust holds · Even

03Tell customers what to do now→ Trust holds · Likely

What if it went to someone else, or said less?

app.finalit.ai

Lens: UK public+ Context

ContextWho it’s for, what it’s for, and anything Finalit should know. Never part of the draft.

Market · UK, Manchester firstAdded

Most of them buy coffee on the way to work.Add

Brewly: the idea

Café coffee at home for less than one flat white a week. Every month Brewly sends two bags of fresh beans from independent UK roasters, matched to what you like.

Price: £15 a month. Your first bag is free, and you can cancel any time.

Who it’s for: people who already buy good coffee out, three or four times a week, and know what it costs them.

We will grow through the roasters themselves: every bag carries their name, and every roaster shares it with their own customers.

Prediction 001Consumer subscription idea, for the UK public

Subscribeslikely

A free first bag with no lock-in gets tried; the second month is the real test.

Enough people try it: the first bag is free, there is no lock-in, and £15 beats their café habit.

Decided: Coffee drinkers who already buy out, at the price and the free bag.
Assumes: The taste match lands. If the first bag misses, month two falls to even.
Early sign: A second order inside five weeks.

Who would pay, by priceUK public

41%£9

36%£15Your price

27%£19

17%£25

11%£29

4%£39

What would change the outcome

01Show what four flat whites cost next to £15→ Subscribes · Very likely

02Name the roaster in the first bag→ Subscribes · Likely

03Let people pause, not just cancel→ Subscribes · Likely

What if it went to someone else, or said less?

prediction intelligence.

Lens: Hiring manager+ Context

Dear Hiring Manager,

I’m applying for the Product Designer role. Over the last two years I’ve shipped the checkout redesign at a payments start-up, which lifted conversion by a fifth.

Before that I spent three years in agency work, mostly for retail brands, where I learned to move fast and present to clients.

At the start-up I also ran weekly research sessions with merchants, and turned what we heard into the next quarter’s roadmap.

Outside work, I mentor two junior designers through a local bootcamp, and I’m always sketching side projects on the weekends.

I’m a passionate team player who loves solving problems, and I’d bring that energy to your team.

I’d love to talk about how I could help. Thank you for your time.

Kind regards, Sam

Prediction 001R-0644

Gets the interview even

Anything you put into words. Finalit predicts how it’s likely to land with the people it’s for, and what would land better.

Read as a 20% price rise, by 2,000 customers

Prediction 001R-0702

Customers stay likely

Most stay: it comes with a month’s notice, a reason and a cheaper way to stay.

Move to Basic240

Cancel120

Complain publicly40

Decided: In the first week, mostly by monthly customers.
Early sign: Downgrades above 15% in week one mean it’s landing worse.

What if we gave three months’ notice?

Any call you’re about to make. Finalit predicts what the people it affects are likely to do, before you commit.

Gets 1,000 users unlikely

Who makes it throughOf 50,000 who see it

1,000 users

50,000See it

2,400Visit the page

310Sign up

60Still using it in a month

Anything you want to start. Finalit predicts whether it’s likely to take off, and where it’s likely to stall.

Who it’s for. What it knows.

Lens: Big Tech Recruiter+ Context

Application, Senior Product Designer

I’m a passionate, detail-oriented designer with 5+ years of experience creating user-centred products that delight.

I thrive in fast-paced environments and love collaborating across teams.

I’d be thrilled to bring my skills to your company.

Big Tech RecruiterFrom 3,000 screens she really ranbyNadia Ellis

Lenses

The people your outcome rests on, built by people who know them. Use one, or share your own.

Acme Board

Acme Q3 metrics.xlsxSpreadsheet · 4 tabs

Acme board pack, Q2.pdfPDF · 24 pages

acme.coLink · 12 pages read

Acme’s board · 5, two from the Series AAdded

Last meeting · They pushed back on burnAdded

Desks

Everything a situation needs, set up once by someone who’s been there. Borrow one, or share your own.

Q3 board packFrom Google Drive

Roadmap 2027From Notion

Term sheet.pdfPDF · 6 pages

Connections

Drive, Notion and your files, straight into a desk.

What works for you

Learned from what happened to your predictions

InvestorsTraction in the first line3 of 4 went your way

RecruitersOne result, up front2 of 2 went your way

Your managerThe ask, then the reasons2 of 3 went your way

Record

It learns what works for you from what really happened.

What would change the outcome

Gets the meeting likely

Open with the retention number→ likely

Name the partner you met→ very likely

What moves it

Every change, and how far it moves the odds.

Client: Northbeam

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