A broader view of Look4Logic specialist capabilities.
Look4Logic is best known for decision-safe forecasting, ForecastOps, PatientFlow, and MarketSimulator. This page shows the wider capability set available for adjacent commercial questions, deeper analytical builds, and partner-led specialist delivery.
It covers forecasting, scenario planning, competitive intelligence, patient-demand work, data and dashboard builds, selective AI-enabled workflows, training, and white-label partner support. Use the filters above to focus on core, selective, or partner-enabled offers.
How to read this page
Core offers are the strongest direct fit with current Look4Logic work. Selective offers are credible adjacent services where scope and need are clear. Partner-enabled offers are strongest when delivered with complementary consultancies, agencies, market-access specialists, or data partners.
Directly aligned with forecasting, scenario architecture, analytics builds, and current specialist delivery.
Adjacent services offered where the brief, timing, and client need clearly fit.
Best delivered with complementary experts when the brief spans several specialist domains.
Common reasons to use this page
- A partner or client wants to see the broader capability range behind the main Look4Logic offer
- A brief sits next to forecasting: CI, pipeline, patient demand, data build, dashboarding, or workflow support
- A team needs senior specialist help beyond a standard forecast refresh
- A consultancy or agency wants white-label modelling, analytics, or evidence-heavy commercial support
How this work is usually delivered.
Most projects start as a scoped brief, a retained specialist role, or partner-delivered support. The mix depends on how close the work sits to the core Look4Logic offer and how much continuity the client needs.
Direct scoped projects
A defined analytical problem, forecast challenge, scenario sprint, dashboard build, evidence-tracking setup, or strategy pack delivered against an agreed scope and timeline.
Retainer and rolling ownership
Ongoing forecasting, scenario refresh, evidence tracking, or market monitoring support where the value comes from continuity rather than one-off delivery.
Build plus handover
Design the model, database, dashboard, workflow, or decision pack first, then transition it into lighter-touch support or internal use.
White-label or subcontract work
Forecasting, modelling, analytics engineering, and evidence-heavy specialist work delivered behind a consultancy, agency, data provider, or expert network.
Interim specialist lead
Short-term senior input when a team needs hands-on forecasting, scenario architecture, analytics engineering, or method design without committing to a full hire.
Training and capability uplift
Workshops, mentoring, method playbooks, and practical upskilling for teams that want better modelling discipline, better assumptions, and better outputs.
The closest adjacent fit to the core Look4Logic offer.
These services sit nearest to ForecastOps, PatientFlow, and MarketSimulator: forecast governance, market simulation, patient-demand logic, scenario testing, and review-ready decision support.
ForecastOps and forecast-governance upgrades
Turn a forecast into an explicit operating layer with named assumptions, event logic, scenario refresh, clearer ownership, and management-ready driver attribution.
Sales-based forecasting
Build, refresh, or challenge market and brand forecasts using IQVIA/IMS-style data, internal sales data, affiliate inputs, and structured scenario assumptions.
Patient and epidemiology-based forecasting
Model demand from epidemiology, diagnosis, eligibility, access, treatment choice, and pathway logic rather than relying on sales history alone.
Dynamic total-market simulation
Stress-test how launches, erosion, pricing moves, access shifts, and competitor actions change the whole market, not just one brand line.
Multi-country forecast harmonisation
Bring fragmented country assumptions into one more coherent cross-market logic so that global, regional, and affiliate views stop drifting apart.
Rolling reforecast and scenario refresh
Update the forecast when events move, not only when the annual cycle says so - launches slip, tenders change, access changes, competitors surprise, assumptions need rewriting.
Launch planning scenarios
Compare alternative launch timings, access pathways, uptake curves, competitive response patterns, and country sequencing choices before management commits.
LOE / erosion modelling
Model patent expiry, generic or biosimilar entry, retained share, partial claw-back, and pricing erosion as explicit event sets rather than blunt one-line assumptions.
Access and reimbursement scenarios
Show how reimbursement wins, restrictions, tender losses, step edits, or funding changes affect reachable demand, captured demand, and brand outcomes.
Source-of-business analysis
Make growth explicit: where demand came from, who lost it, whether it was switch, expansion, outside-of-market movement, or a mix of all three.
Forecast challenger review and audit
Pressure-test an existing forecast without replacing it - surface hidden assumptions, fragile logic, weak scenario coverage, and the reasons the number may not survive review.
Ad hoc decision sprints
A focused what-if sprint around one live question such as launch timing, access risk, a competitor event, a pricing move, an acquisition idea, or a portfolio choice.
Consensus forecasting and assumption workshops
Support analyst, affiliate, franchise, and management alignment by turning vague discussions into explicit assumptions, ranked events, and scenario containers.
Portfolio and therapy-area scenario planning
Support broader therapy-area or portfolio reviews where multiple future states need to be tested consistently across products, countries, and strategic choices.
Rare disease and hidden-demand architecture
Separate patient truth from market truth in settings where diagnosis, eligibility, access, and pathway friction matter more than historical sales continuity.
Biologics and biosimilar competitive modelling
Quantify erosion, defence, access pressure, contracting effects, switching risk, and scenario differences in biologics or biosimilar markets.
Opportunity and risk assessment
Frame upside, downside, disruption risk, and strategic optionality around a product, market, class, or portfolio using explicit commercial scenarios.
Pipeline-to-market modelling
Translate a development asset or indication expansion into reachable demand, market entry assumptions, competitive consequences, and commercial timing scenarios.
Commercial due diligence analytics
Provide modelling-backed challenge work around asset potential, market size realism, competitive risk, and forecast credibility in selected diligence contexts.
Monte Carlo and forecast range analysis
Where useful, complement deterministic scenarios with probabilistic ranges and uncertainty framing for risk-heavy decisions.
Game-theory-informed competitor response tests
Structure competitor reaction logic more explicitly when pricing moves, launches, tenders, or strategic actions are likely to trigger a response.
Pricing corridor and price-volume analysis
Separate volume and price effects so pricing actions, erosion patterns, and value consequences become easier to understand and defend.
Demand-to-market hybrid model builds
Link patient-demand logic and market-capture logic inside one decision framework rather than leaving epi models and market models disconnected.
Forecast pack redesign
Restructure how forecast outputs are shown to management - source of business, named drivers, event impact, scenario deltas, and sharper executive pages.
Where market intelligence becomes an actual decision tool.
These services help translate pipeline, competitor, regulatory, access, and market signals into assumptions, scenarios, prioritisation choices, and executive decisions.
Competitive landscape analysis
Map the current and emerging competitive field, identify relevant market events, and translate competitor activity into concrete strategic implications.
Pipeline analysis
Track and interpret assets, mechanisms, development stages, timing risk, differentiation, and likely commercial implications for a market or therapy area.
Product and indication prioritisation support
Help compare where a company should focus, defend, sequence, or deprioritise across products, countries, or indications.
Commercial opportunity assessment
Combine market structure, demand formation, access realities, and competition to challenge whether an opportunity is large, reachable, and commercially meaningful.
Asset screening support
Review external assets or internal opportunities with a sharper market and forecast lens before deeper investment or BD work begins.
Clinical, regulatory, and HTA tracking
Monitor the events most likely to change market assumptions - approvals, trial results, guidelines, payer decisions, reimbursement shifts, and assessment outcomes.
CI-to-forecast translation
Convert tracked evidence into explicit forecast logic fast enough that monitoring becomes commercially useful instead of just informative.
Congress and conference intelligence packs
Produce focused readouts from major meetings with an emphasis on what matters commercially, competitively, and forecast-wise.
Early-warning competitor watchlists
Set up structured watchlists around likely market-moving events, expected timing windows, and implications for scenario refresh.
Lifecycle management support
Support strategy around launch, growth, defence, erosion, sequencing, indication expansion, or competitive repositioning.
Market access implications analysis
Assess how payer, reimbursement, HTA, and access developments may alter demand, switching, or strategic defensibility.
Tender and formulary risk scenarios
Model and explain what happens when access is won, lost, tightened, reopened, or competed differently across markets.
White-space and unmet-opportunity mapping
Combine market structure, patient friction points, and competitor gaps to identify where there may be under-served demand or strategic room to play.
Country archetype and affiliate challenge packs
Create sharper country-level briefs for launch, access, competitor, or forecast review discussions, especially where affiliate logic varies too widely.
Launch readiness challenge packs
Pressure-test whether the current story, assumptions, and launch view are coherent enough for management, franchise, and market-level review.
BD and licensing support
Provide the commercial modelling layer behind broader business development conversations, especially where demand and competition are both moving.
Commercial due diligence support
Selective support for diligences where the buyer needs an independent challenge on market dynamics, demand formation, or forecast realism.
Competitor war-gaming workshops
Facilitate or support structured competitor-reaction exercises using explicit scenarios, event logic, and commercially grounded assumptions.
Market narrative sharpening
Help teams reframe a market story away from vague optimism and toward clearer drivers, strategic choices, and defensible assumptions.
Executive strategy briefs
Short senior-facing packs that explain what changed in the market, why it matters, and how the current forecast or strategy should respond.
Useful when patient truth matters as much as market truth.
These capabilities are strongest where demand depends on diagnosis, eligibility, pathway friction, treatment sequencing, medical evidence, or healthcare-system reality rather than a single trend line.
Patient journey mapping
Make the patient path explicit from prevalence or incidence through diagnosis, access, eligibility, treatment, switching, and persistence.
Epidemiology modelling
Structure prevalence, incidence, diagnosis, eligibility, and treated-patient assumptions into a transparent, computable demand framework.
Diagnosis and eligibility funnel analysis
Show where patients are lost, where demand becomes reachable, and which interventions change the treated pool most.
Treatment pathway redesign analysis
Model how pathway changes, referral changes, testing adoption, line placement, or new care rules could alter patient flow and downstream demand.
Line-of-therapy and sequencing analysis
Explore how treatment order, branch logic, progression, and switching shape demand across products or therapy options.
Clinical-trial translation to commercial implications
Translate key trial outcomes, comparator questions, safety signals, or positioning changes into forecast and strategy implications.
Secondary evidence synthesis
Pull together scientific literature, clinical data, guideline developments, and market evidence into decision-useful summaries.
Publication and evidence landscape reviews
Create focused evidence overviews around a disease area, pathway bottleneck, competitive mechanism, or commercial question.
Guideline change impact analysis
Assess how likely or actual changes in guidelines, testing recommendations, or practice patterns may change reachable demand or treatment flow.
Healthcare pathway bottleneck analysis
Identify where the system itself constrains demand - testing, referral, diagnosis, reimbursement, specialist capacity, or treatment routing.
EMR / EHR analytics
Selective work on real-world patient-flow or treatment-pattern questions where data access, scope, and methodology are well defined.
Clinical data analysis
Support selected projects that need medically literate interpretation of patient-level, pathway, trial, or disease-state data.
Medtech and device adoption analytics
Apply similar commercial and pathway logic to devices or procedure-driven settings where product use depends on workflow, access, and adoption friction.
Clinical-commercial bridge work
Bridge scientific or medical evidence into more commercial language for forecasting, market assessment, or senior decision making.
Primary research study design input
Shape the analytical logic, question structure, or decision framing for expert interviews, surveys, or qualitative work when primary research is needed.
KOL and expert-interview synthesis
Interpret primary research outputs and fold them into scenarios, demand logic, or commercial implications rather than leaving them as isolated notes.
Market access and pathway interaction studies
Assess how medical, diagnostic, and access levers interact when the commercial question cannot be understood from market data alone.
Rare-disease demand architecture projects
Particularly strong where the market story is driven by hidden patients, diagnosis friction, eligibility rules, and later competitive capture.
Build the working machinery behind the decision.
This section covers the data structures, reporting layers, automation, dashboards, and technical clean-up that make forecasting and insight work more reusable, governable, and easier to maintain.
Custom databases and data marts
Design and build structured stores for forecast inputs, market data, evidence tracking, competitor events, or internal analytical workflows.
Data integration and enrichment
Combine internal data, commercial datasets, evidence sources, and manually tracked inputs into a more usable analytical base.
Forecast data model cleanup
Restructure messy forecast inputs so assumptions, segments, history, scenarios, and outputs stop fighting each other.
Excel model rescue and modernisation
Untangle legacy spreadsheet logic, improve maintainability, and rebuild the parts that keep making forecast review harder than it should be.
Power BI dashboards
Build or improve decision-facing dashboards connected to forecast logic, scenario thinking, or evidence flows rather than only retrospective reporting.
Executive dashboards and management reporting
Create sharper reporting layers that highlight drivers, deltas, exceptions, and scenario differences in a form management can use.
Python automation for recurring analytics
Automate repetitive data pulls, transformations, report preparation, evidence summaries, or analytical quality checks.
Web scraping and API pipelines
Pull external evidence from sources such as clinical-trial databases, publication sources, or other structured feeds into usable internal datasets.
Scenario and event libraries
Create reusable structures for common market events, launch patterns, erosion assumptions, and decision scenarios.
Assumption registers and evidence logs
Build explicit records that link assumptions to owners, rationale, evidence, and change history.
Reporting template systems
Standardise repeatable tables, charts, summary pages, and management-pack structures so outputs stop being reinvented every cycle.
Time-grain and forecast-architecture conversion
Rework time structures when teams need yearly, quarterly, or monthly views to connect more cleanly.
BI augmentation layer design
Add a forecasting or scenario layer on top of an existing BI estate while keeping reporting and modelling roles clear.
Custom analytics sandboxes
Create practical analytical workspaces where teams can test scenarios, compare outputs, and collect insight faster.
Data dictionaries and metadata design
Clarify what the model or dashboard uses so maintenance, handover, and governance become more realistic.
Analyst tooling and quick calculators
Build small, practical tools for recurring commercial questions such as share shifts, access shocks, launch timing, or pack conversions.
Knowledge-base and document structuring
Organise accumulated materials, evidence, outputs, and logic into something future analysts can use with confidence.
Internal forecast workbench design
Design the working environment around the forecast - not just the model, but the registers, views, outputs, and supporting tools around it.
Data quality and exception review
Create checks for missing data, odd segment behaviour, inconsistent assumptions, duplicate logic, or fragile output dependencies.
Export-ready reporting layers
Prepare outputs so they can flow into Excel packs, presentation decks, or downstream financial models more cleanly.
Selective AI support for evidence-heavy analytics teams.
The emphasis here is practical and controlled: AI used to accelerate monitoring, synthesis, retrieval, prompting, and quality control around healthcare analytics workflows.
AI-enabled competitive-intelligence monitoring
Use agentic or semi-automated workflows to watch pipeline, clinical, regulatory, HTA, and competitor developments more consistently.
Prompt library design for analytics teams
Create reusable prompts and task patterns for forecasting, CI, evidence review, scenario logging, and executive summarisation.
Event and assumption logging copilots
Use AI to help capture assumptions, classify market events, suggest tags, and maintain cleaner scenario records.
Evidence summarisation pipelines
Build practical workflows that reduce manual review load across publications, trial updates, guidance changes, or competitive news.
Executive briefing generation workflows
Use AI-assisted drafting to turn heavy analytical output into faster first-draft summaries for senior review.
Healthcare prompt architecture and validation
Design prompts, review criteria, and validation rules so AI outputs are more usable, auditable, and better controlled.
Human-in-the-loop QA systems
Set up workflows where AI accelerates the work but final judgment, challenge, and sign-off stay with the analyst.
Internal AI research assistants
Create tightly scoped assistants for evidence retrieval, document parsing, or first-pass analytical synthesis in healthcare contexts.
AI-assisted literature and trial scanning
Combine retrieval, extraction, and structured summarisation to reduce monitoring effort across scientific and development signals.
Forecast review copilots
Support pre-review checks, assumption summaries, driver explanations, and meeting-pack drafting around an existing forecast process.
Knowledge-base and retrieval layer setup
Organise internal materials so teams can search, retrieve, and reuse market, forecast, and evidence knowledge faster.
AI readiness and operating guardrails
Define where AI can help, where it should not be trusted, and how analysts should review outputs in forecast- and evidence-heavy workflows.
AI workflow integration with existing data stacks
Selective partner-supported work where AI workflows need to sit inside a broader data or analytics environment.
Healthcare AI prototype support
Early-stage support for highly specific internal AI use cases where domain logic and validation matter as much as the technical prototype.
Prompt QA for healthcare content teams
Review prompts, source discipline, and output checking for teams producing healthcare, evidence, or commercial content at scale.
Document extraction and tagging systems
Create semi-automated ways to tag, classify, and organise large internal or external document sets for later analytical use.
Useful when the team needs stronger methods as well as delivery.
These services work well as standalone assignments, partner add-ons, or the first step before deeper forecasting, data, or scenario architecture work.
Forecasting fundamentals training
Practical training on how pharma forecasts are built, where they go wrong, and how to make assumptions more explicit.
Advanced forecasting methods workshops
Focused workshops on launch, erosion, competitive dynamics, patient-based demand, scenario architecture, and forecast explainability.
Source-of-business workshops
Help teams think more explicitly about where volume comes from, where it goes, and what is still being assumed rather than shown.
Event identification and ranking sessions
Structured sessions to identify the market events that matter most, rank them, and tie them to scenarios.
Forecast review meeting preparation
Sharpen the pack, the story, the assumptions, and the likely challenge points before a difficult management review.
Dashboard and model handover training
Train teams to use, maintain, and interpret the model or dashboard rather than simply inherit a black box.
Team mentoring and capability uplift
Hands-on coaching for analysts or insight leads who need better method discipline, sharper challenge habits, or stronger commercial framing.
White-label modelling core for partners
Act as the forecasting and simulation specialist behind consultancies, agencies, HEOR/HTA firms, market-access teams, or data providers.
Specialist subcontract support
Join delivery teams where the missing piece is forecast logic, scenario architecture, evidence-heavy modelling, or analytics engineering.
Interim forecasting and analytics leadership
Short-term senior cover when a team needs someone to stabilise method, outputs, governance, or delivery quality.
Proposal-side specialist input
Support consultancies and agencies during scoping, proposal writing, technical framing, or early client calls where modelling credibility matters.
Methods playbooks and SOP design
Write down the forecasting, scenario, evidence, and reporting logic so the work stops living only in scattered files and tacit habits.
Primary-research interpretation workshops
Help a broader team turn interview outputs or qualitative findings into scenarios, assumptions, and strategic implications.
HEOR / HTA collaboration support
Provide the commercial-forecasting and patient-demand layer alongside market-access, HEOR, or reimbursement expertise from complementary partners.
Commercial strategy partner support
Work behind strategy boutiques or independents that need stronger market models, demand logic, or forecast challenge capability.
AI-assisted research workflow training
Train teams on how to use prompts, retrieval, and human review more effectively in evidence-heavy healthcare workflows.
Analyst onboarding packs
Create structured starter materials, examples, templates, and logic notes for new analysts joining a forecasting or insights workflow.
Workshop facilitation for launch / LOE / access decisions
Facilitate structured challenge sessions so teams leave with clearer scenarios, explicit assumptions, and sharper next steps.