Offshore / Onsite
Hire Dedicated Team
Access a dedicated RevOps specialist or team, on-site or remote, who runs forecasting, reporting and CRM requests alongside your sales team.
Get StartedSales Forecasting
A number you can commit to.
Sales forecasting built on historical conversion rates by stage and segment, weighted and commit views, a deal inspection cadence, and forecast accuracy tracked against actuals. A flat multiplier everyone knows is wrong is not a forecast.
✓Baselined from three years of deals
✓Accuracy tracked monthly
✓Run with your managers
4-8 wks
To a forecast you can defend
By segment
Conversion rates, not one multiplier
Monthly
Accuracy reported to the board
Yours
Model, cadence and dashboards
Our Clients
Teams That Ship With Us
WHY FORECASTS MISS
The pipeline was full.
The quarter still missed.
Forecast accuracy is rarely a modelling problem. It is four behavioural and structural problems that a spreadsheet cannot correct, and each one is visible in your own history.
THE CAUSE
HOW IT SHOWS UP
WHAT WE PUT IN PLACE
One weighting for everything
A single set of stage probabilities applied to enterprise and SMB, new business and renewals, which fits none of them.
Conversion rates derived per segment and deal type from your own closed history, refreshed quarterly as the mix changes.
Commit is a feeling
Reps commit under quota pressure rather than against criteria, so the commit number is systematically optimistic.
Objective commit criteria — a date, a signatory, a confirmed budget — with managers holding the line in review.
No inspection cadence
Deals are discussed when they slip rather than on a schedule, so problems surface in the last week of the quarter.
A weekly inspection rhythm on the deals that matter, with a documented set of questions rather than a general catch-up.
Accuracy is never measured
Nobody tracks how wrong previous forecasts were, so the same bias repeats every quarter unexamined.
Forecast accuracy measured by month, rep and segment, so systematic optimism becomes visible and correctable.
WHAT YOU GET
What the forecast model contains
A model, a cadence and a measurement loop. Any one of the three on its own decays within two quarters.
Historical conversion baseline
Stage-to-stage and stage-to-close rates by segment, deal size and source, derived from three years of your own outcomes.
Weighted, commit and best-case views
Three distinct views with defined criteria for each, so a commit means something specific rather than a rep’s mood.
Deal inspection cadence
A weekly rhythm with a documented question set, run with your managers until they own it.
Capacity and coverage model
Pipeline required against target given real conversion rates, so a coverage gap is visible a quarter early rather than at the end.
Accuracy tracking
Forecast against actual by month, rep and segment, reported to leadership so bias is corrected rather than repeated.
Board-ready reporting
The rollup your board actually asks for, reconciled with finance and built on the same definitions as everything else.
WHEN TEAMS CALL US
Moments the number stops being credible
Forecasting work is almost always bought after a miss that surprised somebody senior.
Three quarters of misses
Consistently short in the same direction, which is systematic bias rather than bad luck and therefore correctable.
A board lost confidence
The forecast was presented, it missed, and now every number gets challenged rather than acted on.
Fundraising or diligence
An investor will test the forecast against history, and it has to hold up under that scrutiny.
New sales leadership
A new revenue leader who needs a defensible baseline before committing to a number.
The mix changed
Moving upmarket or adding a product line, and the old conversion assumptions no longer apply.
Capacity planning
Hiring decisions depend on coverage, and nobody can say how much pipeline the target actually requires.
AI-ASSISTED DELIVERY
Conversion rates fromevery deal you have closed.
A credible forecast rests on segmented conversion rates, and deriving those means reading years of deal history including the notes, the call records and the reasons deals actually died. Doing that at volume rather than by sample is what makes the baseline defensible, and it turns a two-month exercise into four to six weeks.
SEGMENTED BASELINES
Rates per segment, from history
Conversion derived per segment, deal size and source from every closed opportunity, rather than one blended multiplier applied to everything.
SLIPPAGE PATTERNS
Which deals actually slip
Historical slippage analysed by stage, rep and deal characteristic, so the forecast accounts for the pattern rather than assuming this quarter is different.
RISK SIGNALS
Notes and calls, read at volume
Deal notes and call records read for the signals that preceded losses — silence, single-threading, a champion leaving — surfaced on open deals in the commit.
HOW THE SPEED STAYS SAFE
A model can flag a deal. It cannot commit a number.
The commit is a management judgement with accountability attached. Better inputs narrow what a manager has to read before deciding; they never replace the decision.
See our AI practiceWHAT WE DO NOT CUT
The commit stays a person’s call
A scored risk flag is an input to a deal review, never an automatic exclusion. The manager who owns the number owns the judgement.
Every risk flag names its signal
A manager can disagree with the reasoning rather than with an opaque score, which is what makes the flags get used at all.
Baselines are reviewed with sales leadership
Derived conversion rates are checked against how the team believes the business behaves, and discrepancies are investigated rather than overridden.
Call data is used under your consent policy
Recording consent and retention follow your existing policy, with role-based access on anything derived from it.
HOW WE WORK
Measure the bias first,
then build the model
Most forecasting projects start by building a model and never establish how wrong the old one was. Measuring the bias first tells you what the model actually has to correct.
01
Week 1
Measure past accuracy
OUTPUTHistorical accuracy baseline
How wrong previous forecasts were, by month, rep and segment. Systematic optimism in one direction is the most common and most fixable finding.
✓Forecast versus actual, by month
✓Bias identified per rep and segment
✓Slippage patterns quantified
02
Week 1-3
Derive the conversion rates
OUTPUTSegmented conversion model
Stage-to-close rates by segment, deal size and source from your own history. Reviewed with sales leadership, because a rate nobody believes gets ignored.
✓Rates per segment, not blended
✓Derived from your own outcomes
✓Reviewed with sales leadership
03
Week 3-5
Define commit criteria
OUTPUTCommit and weighted definitions
What has to be true for a deal to be committed — a date, a signatory, confirmed budget. Objective, agreed and enforced in review rather than left to sentiment.
✓Objective criteria per view
✓Agreed with sales leadership
✓Enforced in the CRM where possible
04
Week 5-7
Run the cadence
OUTPUTInspection rhythm with managers
A weekly deal inspection with a documented question set, run with your managers for several cycles until they own it rather than attend it.
✓Documented question set per stage
✓Run with managers, then handed over
✓Risk flags reviewed, not auto-applied
05
Week 7-8
Report and recalibrate
OUTPUTAccuracy reporting & refresh plan
Accuracy reported to leadership monthly, with a quarterly recalibration of conversion rates as the mix moves. A static model drifts back into fiction.
✓Accuracy reported to the board
✓Quarterly rate recalibration
✓Coverage gaps flagged a quarter early
OUR TOOLKIT
What we forecast with
Your CRM and your warehouse. The model lives where finance and sales can both re-run it rather than in a spreadsheet on one laptop.
CRM & forecasting
→
Deal intelligence
→
Modelling
→
Reporting
→
Cadence
→
Salesforce
Pipeline source of truth
HubSpot
Mid-market pipeline data
Clari
Forecast rollups and inspection
Weflow
Pipeline hygiene enforcement
Sp
Scratchpad
Rep-friendly deal updates
OUR TOOLKIT
What we forecast with
Your CRM and your warehouse. The model lives where finance and sales can both re-run it rather than in a spreadsheet on one laptop.
CRM & forecasting
→
Deal intelligence
→
Modelling
→
Reporting
→
Cadence
→
Gong
Call signals and risk indicators
Claude
Reading deal notes at volume
Chorus
Conversation analysis
Common Room
Intent and engagement signal
Salesloft
Engagement sequencing data
OUR TOOLKIT
What we forecast with
Your CRM and your warehouse. The model lives where finance and sales can both re-run it rather than in a spreadsheet on one laptop.
CRM & forecasting
→
Deal intelligence
→
Modelling
→
Reporting
→
Cadence
→
Python / pandas
Conversion and scenario models
Excel / Sheets
Models finance can re-run
dbt
Definitions and rates in code
Snowflake / BigQuery
Historical deal warehouse
Metabase
Ad hoc forecast queries
Claude Code
Forecast models written and reviewed
OUR TOOLKIT
What we forecast with
Your CRM and your warehouse. The model lives where finance and sales can both re-run it rather than in a spreadsheet on one laptop.
CRM & forecasting
→
Deal intelligence
→
Modelling
→
Reporting
→
Cadence
→
Looker
Board-level forecast reporting
Cd
CRM dashboards
Where managers actually look
Power BI
Microsoft-stack estates
Slack
Weekly forecast digest
Google Slides
Board pack generation
ChatGPT
Forecast narratives drafted for review
OUR TOOLKIT
What we forecast with
Your CRM and your warehouse. The model lives where finance and sales can both re-run it rather than in a spreadsheet on one laptop.
CRM & forecasting
→
Deal intelligence
→
Modelling
→
Reporting
→
Cadence
→
Notion
Inspection question set
Calendar cadence
Weekly rhythm, documented
Loom
Training for new managers
Confluence
Commit criteria reference
Slack Connect
Working channel with your team
Case Studies
Products We’ve Designed and Engineered
Selected work for retail, banking, telecom and defence teams, from brand identity and mobile apps to data platforms and AI assistants.
Panda
Fewer Steps From Search to Checkout
Industry
RetailGrocery
Product
WebsiteMobile app
Experience
UX researchProduct design
What We Did
Reworked search, categories and checkout in Panda’s live app and website, in Arabic and English.
- Platform
- App & web
- Market
- Saudi Arabia
EDGE Group
One Brand for 35+ Defence Companies
Industry
DefenceAdvanced technology
Product
WebsiteBrand identityPrint
Experience
Branding & web
What We Did
Brand identity, website and print for a group of 12,000 staff, carried onto the IDEX show floor.
- Scope
- Brand, web, print
- Market
- UAE
Mashreq NEO
The Whole Bank on One Screen
Industry
BankingFintech
Product
Power BIAI assistant
Experience
Data & AI
What We Did
Six performance areas in one index for leadership, plus NEO GPT, a private assistant for bank documents.
- Platform
- Power BI, Azure
- Market
- UAE
Brands For Less
One Shopping App for Ten Countries
Industry
RetailE-commerce
Product
WebsiteMobile app
Experience
UX researchProduct design
What We Did
Found where shoppers dropped off, then redesigned sign-up, banners and cart for a retailer with 120+ stores.
- Platform
- App & web
- Markets
- GCC, Levant, Asia, US
Omantel
Five Spreadsheets Into One Dashboard
Industry
Telecom
Product
Power BI
Experience
UX researchData visualisation
What We Did
Incident, SLA and workload reporting in one Power BI suite for Oman’s first telecom operator.
- Platform
- Power BI
- Market
- Oman
Client Testimonials
In Our Clients’ Own Words
Client Success: Panda
Grocery shopping with fewer steps
We reworked Panda's live app and website, from search to checkout, for shoppers across Saudi Arabia.
- One Shopping Journey
- App + Web
- Equal in Both Languages
- AR + EN
- Live Nationwide
- KSA
"Thanks to UIUX Studio’s work, the client successfully launched their websites. The team maintained a professional approach and scheduled frequent in-person meetings to provide suggestions for improving the project and ensuring its timely delivery."
Shreya LadCEO, Nutroponics"The team is well-versed in the UI/UX domain and has designed a fantastic journey to support the site’s growth projection. Communication, timeliness, and quality of work have been very professional."
Mohammed AbdullahZeaara.com"The Studio has been an absolute game changer for us. After working on a few independent projects, they are now also helping our marketing team, proving their value to our business and earning praise from executives."
BrandonProject Manager"The UIUX Studio team consistently delivers exceptional work with dedication. We’ve completed an amazing app design together, and I’m excited to collaborate with them again in the future."
Hani Farajvancouverhousefinders.com"We are really pleased with the work that UIUX Studio team has completed for us in designing a website for a new brand. They completed the designs quickly, took on board changes, and the finished product is very professional."
AnayaHead of Marketing, Freshminds"I’ve worked with UIUX Studio team on two projects. They capture the vision and run with it! They create exceptional design! Couldn’t be happier with the quality work and files for my developers."
Brandon PugmirePresident, Imprint City
Client Results
Reviewed on Upwork, Trustpilot, Clutch, G2 and GoodFirms
WORK WITH US
Our engagement models
UIUX Studio offers flexible RevOps consulting with dedicated specialists who work in your existing CRM. Whether you need a full RevOps rebuild or help with a single report, our engagement models give you the support to forecast with confidence.
Estimated pricing
Project Based
Get clear, upfront pricing for a defined project, such as a pipeline audit, a RevOps rebuild or a CRM migration.
Get StartedFlexible engagement model
Hourly
Get RevOps help by the hour, perfect for CRM fixes, new reports, workflow changes or a quick forecast check.
Get StartedWHAT WE REPORT ON
What lands in the monthly review
Pipeline value is the number everyone quotes and the least informative one available.
Forecast accuracy
Commit against actual, by month. The number the whole engagement exists to move.
Bias direction and size
Whether the forecast is systematically optimistic or pessimistic, and by how much, per rep and segment.
Slippage rate
Share of committed deals that move to the next period. High slippage means the commit criteria are not being applied.
Pipeline coverage
Qualified pipeline against target, weighted by real conversion rather than a flat multiplier.
Stage conversion stability
Whether rates hold quarter on quarter. Sudden movement usually means a definition or mix change rather than performance.
Inspection compliance
Whether the cadence is actually being run. It is the first thing to lapse and the reason accuracy regresses.
Industry Expertise Across 35+ Sectors
From retail apps and banking dashboards to a defence group rebrand, we bring proven domain knowledge to every product we design and build.
Talk to Our Team
Media & Entertainment
Streaming, OTT & content platforms
Sports
Fan engagement & live data
Education
EdTech & learning platforms
Advertising
AdTech & campaign tooling
Real Estate
PropTech & marketplaces
Fintech
Payments, banking & wealth
Healthcare
Digital health & patient apps
E-commerce
Retail & D2C platforms
Logistics
Supply chain & fleet ops
SaaS
B2B products & dashboards
WHAT SITS AROUND THIS
What the forecast
depends on
A forecast sits on top of pipeline definitions and reporting, so it is rarely the first or only piece of work.
CRM & Pipeline Design
The stage definitions every forecast weighting is calculated against.
View service ↗Revenue Reporting & Dashboards
Board reporting reconciled with finance and built on the same definitions.
View service ↗Compensation & Territory Design
Quota and coverage set from the same capacity model as the forecast.
View service ↗Sales Enablement & Playbooks
The deal review cadence and the coaching that improves conversion rather than just measuring it.
View service ↗FAQ
Questions about forecasting
Method
Adoption
Commercials
Why measure past accuracy first?
Why segment the conversion rates?
How much history do you need?
What makes a commit criterion objective?
Do you use AI to predict deals?
FAQ
Questions about forecasting
Method
Adoption
Commercials
Who runs the cadence afterwards?
How do you stop reps over-committing?
How long before accuracy improves?
Will this create more admin for reps?
What if sales and finance disagree?
FAQ
Questions about forecasting
Method
Adoption
Commercials
How is this priced?
What do we own?
Do you need CRM admin access?
Can you work with our existing forecasting tool?
Where should we start?
FORECAST REVIEW
Send us four quarters
of forecast and actual.
Forty-five minutes with a RevOps lead. We will tell you whether the miss is bias, slippage or coverage, which stage it originates in, and what we would change first. No deck, no audit fee.
Fix the forecastReady to Fix Your Forecast? Let’s Talk.
Book a free consultation with our design, engineering and AI experts. Share your idea and we’ll come back within one business day with clear next steps.
Recognised By
Our Offices
-
Dubai
UAE · Headquarters
Office OFF2-127, SMARK 2 Building, Plot No. 33-0, Ras Al Khor Industrial Second, Dubai, UAE
-
Mohali
India
B-409, Bestech Business Tower, Sector 66, SAS Nagar, Punjab 160062
-
Adelaide
Australia
Tapleys Hill Road, Fulham Gardens, SA 5024