Cookies Policy

Minima Maxima Ltd
Last updated: October 2025

Minima Maxima Ltd (“we”, “us”, “our”) uses cookies and similar technologies on our website to improve functionality, analyse performance, and enhance your browsing experience.

This Cookie Policy explains what cookies are, how we use them, and how you can manage your preferences.

By continuing to use our website, you consent to the use of cookies as described below (unless you choose to disable them through your browser or via our cookie banner).

 

1. What Are Cookies?

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2. How We Use Cookies

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We do NOT use advertising or behavioural-tracking cookies.

 

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If you have questions about this Cookie Policy or how we use cookies, please contact:

Minima Maxima Ltd
📧 Email: tony@minimamaxima.io
🌐 Website: https://minimamaxima.io

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From Fragmented Operations to Predictable Growth

OVERVIEW

A growing specialist recruitment agency (circa 35 consultants) was performing well commercially but struggling operationally. Despite investing in multiple systems over time, leadership lacked confidence in reporting, teams worked inconsistently, and growth felt increasingly fragile.

Minima Maxima was engaged to stabilise the operating model, unify systems and data, and create a platform for predictable, scalable growth.

THE CHALLENGE

  1. Inconsistent Ways of Working

 

Recruiters had developed their own processes over time:

  • Different pipeline usage by team
  • Varying data standards
  • Manual workarounds replacing intended workflows

 

This created friction, slowed onboarding and made performance uneven.

 

  1. Limited Visibility for Leadership

 

Despite “having the data”, leaders couldn’t reliably answer:

  • Where deals were stalling
  • Which desks were over- or under-performing
  • What the next quarter really looked like

 

Reporting existed, but trust in the numbers didn’t.

 

  1. Technology Investment Not Paying Back

 

The agency had:

  • CRM automations firing inconsistently
  • Tools under-used or misused
  • Data quality issues breaking reporting and workflows

 

The issue wasn’t effort — it was lack of alignment between systems and how the business actually operated.

OUR APPROACH

  1. Establishing Operational Clarity

 

We began by mapping how the business really worked — not how it was meant to work:

  • Recruiter workflows
  • Manager expectations
  • Data usage
  • Bottlenecks across delivery and operations

 

This created a shared understanding of what needed fixing — and what didn’t.

 

  1. Rebuilding the Core System Foundations

 

We stabilised the CRM and data layer by:

  • Standardising pipelines and stages
  • Defining clear data standards
  • Removing duplication and noise
  • Aligning workflows to recruiter behaviour

 

The system became simpler, cleaner and more intuitive.

 

  1. Embedding Automation with Purpose

 

Automation was redesigned to:

  • Support key moments in the workflow
  • Reduce admin without creating noise
  • Reinforce consistency and brand tone
  • Prompt the right actions at the right time

 

This shifted automation from background clutter to operational leverage.

 

  1. Introducing Meaningful Measurement

 

We implemented a focused analytics layer that gave leaders:

  • Clear pipeline health indicators
  • Early warning signs of leakage
  • Desk-level performance visibility
  • Confidence in forecasting

 

Data became a decision-making tool, not a reporting burden.

THE IMPACT

  1. Consistency Without Rigidity

 

Teams worked in a shared framework while retaining autonomy.
Onboarding improved and performance variation reduced.

 

  1. Leadership Confidence Restored

 

Leaders finally trusted what they were seeing:

  • Clearer priorities
  • Better planning
  • Faster, more confident decisions

 

  1. Productivity Gains Without Burnout

 

By removing friction and unnecessary admin, recruiters reclaimed time for high-value work — without increasing pressure.

 

  1. A Scalable Operating Model

 

The agency emerged with:

  • Stronger foundations
  • Cleaner data
  • Clearer workflows
  • A system that could support the next phase of growth

 

Growth became intentional, not reactive.

 

What This Enabled

 

The business now operates with:

  • Predictable delivery
  • Better use of existing systems
  • Higher adoption
  • Clear commercial alignment

 

Technology became an enabler — not a constraint.

CLIENT QUOTE

“We didn’t need more tools — we needed clarity. Minima Maxima helped us align our systems to how we actually work, and the difference has been transformational.”

Turning a Global Tech Recruiter’s Data Into Deal Flow

OVERVIEW

A global technology recruitment company operating across the UK, EMEA and the US approached Minima Maxima with a familiar challenge:
tons of data, thousands of candidates, but no meaningful deal flow being generated from it.

Despite having years of candidate CVs, notes, outreach history and job records inside the CRM, the business struggled to leverage its data for sourcing, re-engagement or market insights.

Minima Maxima partnered with the leadership team to convert their legacy data into a high-performing revenue engine, powered by automation, analytics and an AI-ready data foundation.

THE CHALLENGE

The agency had grown fast — but without a consistent data strategy. As a result:

 

  1. Massive but messy data sets

 

  • Hundreds of thousands of candidate records
  • Duplicates across regions and business units
  • Quality varying significantly by market
  • Missing fields blocking sourcing and search

 

  1. Recruiters relying on LinkedIn instead of Bullhorn

 

  • The CRM wasn’t perceived as a reliable search tool
  • Searching the CRM returned irrelevant or inconsistent results
  • Consultants wasted time re-sourcing candidates already in the system

 

  1. Pipeline blind spots

 

  • Leaders couldn’t answer simple questions:
    • How many candidates do we have for X skillset in Y region?
    • What’s our real job coverage?
    • Where are we losing candidates in the funnel?

 

  1. Automation failing due to inconsistent data

 

Automations were built on assumptions that didn’t match real data usage:

  • Missing fields → broken workflows
  • Inconsistent statuses → no engagement
  • Poor segmentation → irrelevant messaging

 

  1. Untapped revenue locked in legacy data

 

Great candidates existed in the system — but couldn’t be found, reactivated or matched effectively.

The company didn’t have a technology director internally, and regional operations lacked alignment.

OUR APPROACH

  1. Data Audit & Classification

 

We began with a full ecosystem analysis, identifying:

  • The true state of data hygiene
  • Broken or redundant fields
  • Duplicate density
  • High-value segments buried in the system
  • Gaps preventing accurate search and automation

 

We produced a red/amber/green assessment covering all core objects.

 

  1. Data Cleaning & Normalisation

 

We rebuilt the data structure to make the CRM a usable search engine again:

  • Merged duplicates at scale
  • Normalised core fields (skills, locations, statuses, categories)
  • Archived non-usable legacy records
  • Rebuilt skills taxonomy
  • Introduced validation rules
  • Applied naming and formatting consistency

 

This created a clean, trustworthy foundation for sourcing, automation and AI.

 

  1. Re-Engineering Sourcing Workflows

 

We redesigned workflow stages so consultants could:

  • Run consistent searches
  • Find candidates based on skills, tags and experience
  • Auto-create shortlists from segmented data
  • Build talent pools by vertical and market

Recruiters immediately felt the difference.

 

  1. Activating the Data with Automation

 

Once the foundation was fixed, we deployed a full automation framework:

  • Candidate reactivation workflows
  • Skill-based nurture sequences
  • Market mapping sequences
  • Assignment follow-up
  • Compliance and screening flows
  • Job coverage prompts
  • Post-placement success workflows

 

These automations were personalised, brand-consistent, and written to reduce emotional variance across messaging.

 

  1. Converting Data Into Deal Flow

 

We built a repeatable cycle for turning dormant data into live revenue:

  • Reactivate existing candidates
  • Match to open roles
  • Auto-notify recruiters when a great candidate becomes available
  • Push real-time talent pools into BD conversations
  • Enable managers to forecast supply/demand by market

 

This created a direct link between data quality → sourcing efficiency → job delivery → revenue.

 

  1. AI-Readiness & Knowledge Layer

 

With a clean dataset, we prepared the CRM for AI-driven tools:

  • Structured, machine-readable fields
  • Standardised objects for embedding and retrieval
  • Organised notes and documents for summarisation
  • Removed clutter to reduce model confusion

 

The company is now in a position to adopt:

 

  • Recruiter copilots
  • Skill-based candidate matching
  • Automated shortlists
  • AI-powered BD insights
  • Semantic search and deep retrieval

THE IMPACT

  1. Recruiters Returned to the CRM

 

The CRM became the primary sourcing tool again.
Search accuracy increased dramatically.
Consultants stopped relying exclusively on LinkedIn.

 

  1. Reactivation Became a Revenue Stream

 

Automation resurfaced thousands of previously dormant candidates.
Several placements were generated within weeks from reactivation workflows alone.

 

  1. Fill Rates Increased

 

Better shortlisting + better job coverage = faster delivery.
Teams hit SLA milestones consistently for the first time.

 

  1. Talent Pools Became BD Fuel

 

Market maps generated directly from Bullhorn enabled:

  • More targeted BD conversations
  • Better client intelligence
  • Faster response to new vacancies

 

  1. Leadership Gained Real Visibility

 

Clean data unlocked:

  • Funnel health
  • Market heat mapping
  • Forecast accuracy
  • Quality-of-pipeline reporting

 

Decision-making became data-led rather than intuition-led.

 

  1. AI Adoption Roadmap Activated

 

With structured, reliable data, the agency is now rolling out:

  • AI sourcing assistants
  • Candidate summarisation
  • Semantic search
  • Automated shortlist generation
  • Client intelligence tools

 

All powered by the clean, unified ecosystem we created.

 

What This Enabled

 

The transformation didn’t just improve data quality — it changed the trajectory of the business:

  • Faster delivery
  • Higher consultant productivity
  • Consistent international processes
  • Less admin
  • More placements from existing data
  • A scalable, AI-ready CRM environment

 

The company now treats the CRM as a strategic asset, not an administrative burden.

CLIENT QUOTE

“We always assumed our data was ‘too messy’ to fix. Minima Maxima proved otherwise — within months we were generating real revenue from segments of the database we didn’t even know we had.”

Scaling a 40-Person Recruitment Agency with a Unified  Ecosystem

OVERVIEW

A fast-growing, sector-focused recruitment agency with 40 staff was struggling to scale due to fragmented systems, inconsistent workflows and poor data foundations.
Despite strong market demand, the business found it increasingly difficult to maintain delivery quality, forecast accurately, and onboard new consultants effectively.

Minima Maxima partnered with the agency to modernise its entire  ecosystem — aligning people, process, data and technology into one unified, scalable operating model.

THE CHALLENGE

The agency faced several common but serious obstacles to growth:

 

  1. Disconnected Tools & Manual Work

 

  •  CRM used differently across teams
  • Ad-hoc spreadsheets driving core processes
  • Manual compliance steps and duplicated admin
  • Automations not aligned to real recruiter workflow

 

  1. Poor Data Quality

 

  • Duplicate candidates and contacts
  • Inconsistent job and pipeline usage
  • Missing critical data breaking reporting

 

  1. Lack of Insight

 

  • Leaders unable to see reliable revenue/GP forecasting
  • No visibility of job coverage, pipeline health or leakage
  • Reporting inconsistent across divisions

 

  1. Scaling Bottlenecks

 

  • New hires struggled with onboarding
  • Processes varied widely between consultants
  • Tech stack not supporting the pace of growth

 

The business knew there CRM could and should do more — but lacked the internal bandwidth and expertise to fix, redesign, and embed it properly.

OUR APPROACH

  1. Discovery & Mapping

 

We conducted a structured assessment of:

  • Current  usage
  • Recruiter workflow (real behaviour vs intended process)
  • Data health
  • Automations
  • Reporting needs
  • Team adoption and friction points

 

This gave a 360° view of how the agency actually operated across front, middle and back office.

 

  1. Redesigning the Ecosystem

 

We rebuilt the CRM to match the agency’s real-world operations:

  • Cleaned and standardised all pipelines
  • Introduced meaningful job stages and required fields
  • Built structured candidate workflows
  • Re-aligned recruiter journeys with automation logic
  • Standardised data taxonomy across teams
  • Created a single, documented way of working

 

This gave consultants clarity, consistency and a more intuitive system.

 

  1. Data Hygiene & Governance

 

We created a “data-ready-for-AI” environment by:

  • Removing duplicates
  • Fixing broken fields
  • Establishing validation rules
  • Introducing data governance rhythms
  • Giving managers visibility of data quality KPIs

 

This tackled the root causes of poor reporting and workflow friction.

 

  1. Automation Framework

 

We designed and implemented a full-service automation layer, including:

  • Job coverage and follow-ups
  • Candidate screening and availability checks
  • Compliance reminders
  • Nurture sequences
  • Post-placement care
  • Internal ops workflows

 

Automations were written to reinforce brand tone and reduce emotional variance across communications.

 

  1. Analytics & Insights Layer

 

We built out there Analytics capability that gave leaders real visibility:

  • Job coverage
  • Submissions metrics
  • Funnel leakage
  • Contractor book performance
  • Desk productivity
  • Forecasting dashboards

 

This enabled data-led decision-making for the first time.

 

  1. Training & Embedding

 

We delivered:

  • Team training sessions
  • Manager toolkits
  • Adoption playbooks
  • Video walkthroughs
  • Onboarding packs for new hires

 

The result: the system stuck.

THE IMPACT

  1. Job Coverage Increased

 

Recruiters had clearer workflows and automations prompting key actions.
This led to:

  • More jobs being worked
  • Faster submission times
  • Better candidate engagement

 

  1. Reporting Became Trustworthy

 

Leaders finally had:

  • Accurate revenue forecasts
  • Real-time desk performance
  • Visibility across all divisions

 

This improved planning, hiring and resource allocation.

 

  1. Recruiter Output Increased

 

By removing manual admin and smoothing the workflow, consultants gained approx:
+5–7 hours per week of productive time
which they redirected into sourcing delivery and further training.

 

  1. Reduced Operational Risk

Compliance steps were automated, documentation was standardised, and data governance improved — significantly reducing risk.

 

  1. System Adoption Unified

Every consultant now used the CRM the same way, enabling the business to scale consistently across teams and new hires.

 

  1. Higher Margin & Better Utilisation

With clearer visibility and fewer bottlenecks, the agency saw:

  • Improved fill rates
  • More consistent pipelines
  • Stronger utilisation across teams

 

What This Enabled

 

The agency emerged with a scalable, modern CRM ecosystem — not just a tidied-up system, but a platform capable of supporting their next stage of growth:

  • Faster onboarding
  • Predictable revenue
  • Stronger delivery
  • AI-ready data foundations
  • Streamlined operations
  • A more consistent client and candidate experience

CLIENT QUOTE

“Minima Maxima helped us transform  from a system we used into a system that drives the business.
Our workflows are cleaner, reporting is accurate, and our consultants are noticeably more productive.”