Product Strategy and Vision Training Course

Duration 10 days 20 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Product Managers, Senior Product Managers and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-IC-018

Before you join: Participants should have experience working with a product, service, digital platform or customer proposition.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Product teams are often asked to produce roadmaps before agreeing what problem the product should solve, which customers matter most, or how the organisation will win. The result is feature accumulation, conflicting priorities, weak investment cases and a vision that does not guide decisions. Product strategy and vision provide a disciplined basis for choosing markets, customer problems, value propositions, business models and strategic bets.

This course develops the practical skills needed to define, test and communicate a product strategy. Participants examine market context, customer needs, Jobs to Be Done, competitive position, segmentation, value propositions and portfolio choices. They learn to set a product vision, formulate strategic themes, select measurable outcomes, assess opportunities, sequence investments and connect strategy to product roadmaps and OKRs. Attention is given to stakeholder alignment, executive communication, governance and evidence-based product decisions.

Teaching combines focused instructor briefings with sector-based cases, facilitated group analysis, prioritisation simulations and structured application to participants’ own products or services. Participants progressively develop strategy artefacts during the course, receiving peer and instructor review at key decision points. They leave with a completed product strategy pack containing a vision statement, strategic choices, customer and market analysis, outcome measures, investment priorities and an action-oriented roadmap.

The course suits product professionals and leaders responsible for established products, new digital services, public-sector platforms, financial products, customer propositions or internal enterprise systems. It is particularly useful where teams need to move from delivery-focused planning towards explicit market and customer choices.

What you will be able to do

  • Formulate a product vision using customer value, strategic intent and measurable outcomes
  • Analyse market structure using PESTLE, Five Forces and competitor positioning methods
  • Identify priority customer problems through Jobs to Be Done and evidence mapping
  • Develop value propositions using the Value Proposition Canvas and segment needs
  • Select strategic product bets using opportunity assessment, assumptions and investment criteria
  • Prioritise initiatives using RICE scoring, cost of delay and dependency analysis
  • Create outcome-based roadmaps linking strategic themes, OKRs and delivery horizons
  • Present a complete product strategy pack for executive review and decision-making

Benefits of attending

For you

  • A structured method for moving from feature requests to strategic product choices
  • Confidence presenting product direction to executives and cross-functional stakeholders
  • Practical criteria for defending investment priorities and roadmap trade-offs
  • A reusable strategy pack for current or future product leadership roles
  • Stronger capability to link customer evidence with business outcomes

For your organisation

  • Clearer product investment decisions based on customer, market and business evidence
  • Reduced roadmap congestion through explicit strategic themes and prioritisation criteria
  • Better alignment between product, technology, commercial and operations teams
  • More consistent product business cases and executive decision materials
  • Earlier identification of weak assumptions, dependencies and strategic risks

Course modules

20 modules over 10 days

Participants can distinguish product strategy from delivery plans, roadmaps and feature lists.

  • Product strategy distinguishes market choices from delivery planning and roadmaps
  • Vision statements specify future customer value, scope, and strategic intent
  • Strategy kernel: diagnosis, guiding policy, and coherent actions
  • Product operating models connect discovery, delivery, and portfolio decisions
  • Corporate strategy constraints shape product investment boundaries and ambition
  • Strategy narratives align executives, product teams, commercial functions, and partners

Participants can define the strategic mandate, constraints and decision scope for a product.

  • Product mandate defines target customers, value boundaries, and decision rights
  • Business model assumptions identify revenue, cost, risk, and channel constraints
  • Stakeholder mapping reveals sponsors, blockers, decision-makers, and affected operating teams
  • Strategic intent translates enterprise priorities into product-level choices
  • Scope boundaries prevent strategy documents becoming unranked lists of ambitions
  • Decision logs record assumptions, trade-offs, owners, and escalation requirements

Participants can assess market attractiveness and external forces affecting product choices.

  • PESTLE analysis identifies policy, economic, social, technology, legal, environmental factors
  • Porter’s Five Forces tests industry profitability and competitive pressure
  • Market sizing separates total addressable, serviceable, and obtainable market estimates
  • Regulatory change analysis identifies product obligations, approvals, and compliance costs
  • Ecosystem mapping identifies platforms, distributors, suppliers, complementors, and gatekeepers
  • Market maturity patterns inform growth, retention, consolidation, and exit choices

Participants can compare competitive positions and identify defensible strategic alternatives.

  • Competitor profiles compare target segments, propositions, channels, pricing, and capabilities
  • Perceptual maps reveal differentiation gaps against customer decision criteria
  • Strategic group analysis identifies rivals sharing similar business model choices
  • Blue Ocean Strategy separates value innovation from incremental feature competition
  • Wardley Mapping exposes commodity components, differentiators, and build-buy decisions
  • Competitive response scenarios test likely reactions to product strategic moves

Participants can select priority customer segments using needs, value and accessibility criteria.

  • Segmentation variables combine needs, behaviours, economics, and service requirements
  • Personas document evidence-based goals, contexts, constraints, and buying influences
  • Segment attractiveness assesses size, growth, profitability, accessibility, and strategic fit
  • Target market selection compares primary, secondary, and excluded customer groups
  • Buying centre analysis identifies users, buyers, influencers, approvers, and gatekeepers
  • Serviceable market assumptions define channels, geographic reach, and operating capacity

Participants can frame priority customer problems using Jobs to Be Done evidence.

  • Jobs to Be Done defines functional, emotional, and social progress
  • Job maps trace customer steps from triggering event through desired outcome
  • Outcome statements specify speed, certainty, effort, cost, and risk measures
  • Forces of Progress explain switching through push, pull, anxiety, habit
  • Problem interviews separate observed evidence from customer opinion and solution requests
  • Opportunity Solution Trees connect desired outcomes, opportunities, and potential solutions

Participants can build an evidence base and expose assumptions behind strategic choices.

  • Evidence hierarchy distinguishes behavioural data, research findings, expert judgement, assumptions
  • Assumption mapping ranks uncertainties by impact and available evidence
  • Evidence matrices link strategic claims to sources, confidence, and gaps
  • Problem statements combine customer context, unmet need, consequence, and evidence
  • Counterevidence reviews challenge preferred interpretations before investment decisions
  • Learning agendas prioritise research questions with material strategic consequences

Participants can create differentiated value propositions for selected customer segments.

  • Value Proposition Canvas matches customer jobs, pains, gains, products
  • Benefit ladders connect features, functional benefits, emotional benefits, and outcomes
  • Value proposition statements identify audience, problem, promise, and proof
  • Points of parity establish category credibility before differentiation claims
  • Points of difference identify benefits competitors cannot easily match
  • Message testing compares clarity, relevance, credibility, and distinctiveness scores

Participants can write a product vision and define strategic themes that guide choices.

  • Product vision describes a credible future state for target customers
  • Vision narratives connect customer change, organisational purpose, and product ambition
  • Strategic themes group investments around enduring customer and business outcomes
  • Vision tests assess clarity, aspiration, focus, credibility, and decision usefulness
  • Product principles establish reusable rules for difficult product trade-offs
  • Narrative architecture separates vision, strategy, roadmap, and delivery commitments

Participants can assess how product choices create value and support viable economics.

  • Business Model Canvas connects customer segments, channels, costs, revenues, partners
  • Revenue models compare subscription, transaction, licensing, usage, and advertising approaches
  • Unit economics calculate contribution margin, acquisition cost, retention, and payback
  • Willingness-to-pay research tests price sensitivity, value perception, and alternatives
  • Cost-to-serve analysis identifies operational drivers across customer segments
  • Economic assumptions link adoption, pricing, costs, retention, and investment requirements

Participants can select strategic bets using transparent evidence, risk and value criteria.

  • Strategic bets specify opportunity, target segment, hypothesis, investment, and outcome
  • Opportunity assessment compares customer value, business value, feasibility, and risk
  • Three Horizons frames core improvement, adjacent growth, and future options
  • Assumption tests define minimum evidence before scaling product investment
  • Real options thinking preserves flexibility under uncertain market conditions
  • Bet portfolios balance near-term returns, strategic learning, and downside exposure

Participants can define outcome measures that test whether product strategy is working.

  • North Star Metrics connect recurring customer value with sustainable business value
  • OKRs translate strategic themes into measurable objectives and key results
  • Leading indicators signal behavioural change before financial results appear
  • Lagging indicators confirm revenue, retention, cost, quality, and risk outcomes
  • Metric trees connect executive outcomes to product drivers and team measures
  • Guardrail metrics prevent growth initiatives creating harm, cost, or compliance failures

Participants can prioritise product initiatives using value, urgency, effort and dependency evidence.

  • RICE scoring compares reach, impact, confidence, and effort estimates
  • Cost of Delay quantifies urgency through value, time, risk, opportunity
  • WSJF sequencing compares economic priority against estimated job size
  • Kano analysis distinguishes basic needs, performance needs, and delighters
  • Dependency mapping exposes sequencing constraints across technology, operations, and partners
  • Investment thresholds define evidence required for discovery, pilot, scale, and retirement

Participants can manage product portfolios through growth, investment, maintenance and retirement decisions.

  • Portfolio maps compare products by strategic value, performance, investment, and risk
  • BCG matrix tests relative share and market growth assumptions
  • Lifecycle analysis identifies introduction, growth, maturity, decline, and renewal choices
  • Cannibalisation analysis assesses overlap between products, segments, channels, and revenues
  • Product retirement plans address migration, communications, contracts, data, and support
  • Portfolio governance assigns review cadence, investment authority, and decision criteria

Participants can create roadmaps that connect strategic intent, outcomes and investment sequencing.

  • Outcome-based roadmaps sequence strategic themes, outcomes, bets, and learning milestones
  • Now-next-later horizons communicate direction without false delivery precision
  • Roadmap assumptions identify dependencies, constraints, uncertainties, and decision gates
  • Release plans distinguish validated commitments from exploratory product options
  • Theme-based planning prevents roadmaps becoming uncontrolled feature inventories
  • Roadmap reviews assess evidence, outcome progress, risks, and changed priorities

Participants can plan evidence-gathering activities for high-risk strategic assumptions.

  • Experiment cards define hypothesis, method, sample, success threshold, decision
  • Prototype fidelity matches research questions, risk level, and learning speed
  • Concierge tests assess service demand before product automation investment
  • Landing page experiments test proposition appeal and customer acquisition assumptions
  • Cohort analysis examines retention patterns after product or proposition changes
  • Pre-mortems identify likely strategy failure modes before major commitments

Participants can align stakeholders around product choices, governance and decision rights.

  • RACI matrices clarify accountable decisions, contributors, consultees, and informed stakeholders
  • Stakeholder salience assesses power, legitimacy, urgency, and engagement approach
  • Decision forums separate strategic investment choices from delivery status reporting
  • Product councils review evidence, trade-offs, outcomes, and unresolved escalations
  • Conflict framing distinguishes legitimate strategic disagreement from unclear decision rights
  • Alignment plans sequence communications for executives, teams, customers, and partners

Participants can communicate product strategy as a concise decision-oriented executive narrative.

  • Pyramid Principle structures recommendations, supporting evidence, and required decisions
  • Strategy-on-a-page summarises vision, choices, metrics, bets, and roadmap
  • Executive briefings state recommendation, rationale, risks, alternatives, and decisions
  • Visual strategy maps connect market context, customer needs, and investments
  • Objection handling prepares evidence-based responses to predictable leadership challenges
  • Decision memos document approvals, conditions, owners, and follow-up actions

Participants can establish a review cadence that keeps strategy responsive to evidence.

  • Quarterly strategy reviews examine outcomes, evidence, investment, and changing assumptions
  • Product health reviews combine adoption, retention, quality, support, and risk signals
  • Learning loops convert experiment results into revised priorities and roadmap choices
  • Strategy triggers define conditions requiring reassessment, escalation, pause, or exit
  • Benefits realisation tracks promised customer and business value after investment
  • Operating cadence connects portfolio reviews, product reviews, and delivery planning

Participants can build, review and present a complete product strategy pack for a defined product opportunity.

  • Product strategy pack integrates vision, market, customers, value, metrics, roadmap
  • Evidence review tests strategic claims, assumptions, gaps, and confidence levels
  • Peer challenge assesses coherence between strategic choices and proposed investments
  • Executive presentation communicates recommendation, trade-offs, decision requests, and next actions
  • Roadmap defence explains sequencing, dependencies, learning milestones, and resource implications
  • Action plan assigns validation, governance, communication, and review responsibilities

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Product strategy-on-a-page template
  2. Product vision and strategic themes model
  3. Customer opportunity evidence matrix
  4. Strategic bets and assumptions register
  5. Outcome-based product roadmap
  6. Executive product strategy presentation pack

Who should attend

  • Product Managers — responsible for setting product direction and investment priorities
  • Senior Product Managers — needing stronger strategic choices across complex product portfolios
  • Heads of Product — aligning teams, leadership expectations and portfolio decisions
  • Product Owners — connecting backlog decisions to customer and business outcomes
  • Innovation Managers — shaping new propositions from validated market opportunities
  • Business Unit Leaders — sponsoring product investments and strategic growth decisions

Skills and tools covered

Product vision designMarket opportunity analysisCustomer problem framingStrategic prioritisationOutcome-based roadmappingExecutive strategy communication

Tools and standards

Jobs to Be Done, Opportunity Solution Tree, RICE scoring, OKRs

How the course runs

Training methodology

The course uses short instructor briefings to introduce frameworks, followed by case work, group analysis, prioritisation simulations and facilitated critique. Participants apply each method to a selected product, service or proposition, building their strategy pack in stages. Cases reflect settings such as retail banking, government digital services, B2B software and consumer platforms. Peer review sessions test the clarity of strategic choices, evidence, measures and roadmap logic. Classroom and live online cohorts follow the same structured sequence, with instructor feedback throughout.

Requirements and prerequisites

Participants should have experience working with a product, service, digital platform or customer proposition. Familiarity with product backlogs, roadmaps, customer research, business cases or delivery teams is helpful, but specialist expertise is not assumed. Participants should be prepared to discuss a current product challenge, using non-confidential information where necessary. The course does not require coding, financial modelling, design qualifications or prior formal product management certification. Those new to product work may participate if they understand their organisation’s customers, services and decision-making context.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

You should understand the product, service or customer proposition you work with and have some exposure to product, business or delivery decisions. Formal product management certification, coding ability and design qualifications are not required.

Bring a current product challenge, service proposition or portfolio decision that you can discuss without sharing confidential material. Relevant customer research, roadmap extracts, performance measures or business case assumptions can help you apply the methods directly.

It is designed primarily for product managers, senior product managers, product owners, heads of product, innovation managers and business leaders. It is also suitable for technology, commercial and operations leaders who sponsor product investment decisions.

Agile and product delivery courses focus mainly on team practices, backlogs, iterations and release management. This course focuses on choosing markets, customer problems, value propositions, strategic bets, outcome measures and investment priorities before detailed delivery planning.

Participants build a product strategy pack that can be adapted for an existing product, a new service or a portfolio decision. The templates support stakeholder discussions, investment cases, roadmap reviews and quarterly product strategy sessions.

The first week establishes market, customer, value proposition and vision choices while participants begin their own strategy artefacts. The second week addresses economic logic, prioritisation, roadmapping, governance, communication and the final strategy pack presentation; each day runs from 08:30 to 16:30 with about 6.5 contact hours.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.