Disruption Trajectory Map¶
A strategy artifact — instantiates Disruptive Trajectory Positioning
Plots the incumbent and entrant value curves on the axis customers actually buy on, and marks where — and under what assumptions — the entrant is hypothesized to cross into good-enough.
Disruption arguments go in circles until someone draws the picture. The Disruption Trajectory Map is that picture: a single diagram plotting performance-over-time for both players on the dimension customers actually purchase on. It shows the incumbent's curve — often high and flattening as it overshoots what buyers can use — and the entrant's curve, starting below the acceptable line but rising on a steeper or cheaper slope. Its defining contribution is the explicitly-marked crossing hypothesis: a point on the chart, tagged with the assumptions it depends on, where the entrant's trajectory is projected to reach "good enough" for a mainstream segment. It is deliberately a hypothesis rendered visible, not a measurement — the map's job is to make the disruption thesis falsifiable and arguable, so a team debates the assumptions behind the crossing instead of trading anecdotes.
Example¶
A utility's strategy team is split on whether rooftop solar plus home batteries is a real threat or a hobbyist niche. The Disruption Trajectory Map settles the terms of the argument. The horizontal axis is time; the vertical axis is delivered reliability at a given cost — the thing households actually buy from the grid. The incumbent grid curve sits high and nearly flat: extremely reliable, improving slowly, arguably overshooting what many homes need. The entrant curve — solar plus storage — starts well below the acceptable-reliability line (cloudy weeks, outages) but climbs steeply as battery cost falls and capacity rises.
The team marks a crossing hypothesis: for single-family homes in high-sun regions, storage economics reach grid-acceptable reliability within roughly the next several years — and pins the assumptions to it (battery $/kWh trend, net-metering rules, install cost). Drawing it this way changes the meeting. Instead of "solar will or won't disrupt us," the debate narrows to the three assumptions the crossing rests on, each of which can be watched over time. The map decides nothing; it makes the disagreement precise and the thesis checkable.
How it works¶
- Choose the axis customers actually buy on. Not the incumbent's favorite spec — the dimension of value the target segment weighs, so both curves are drawn on honest terms.
- Draw the incumbent curve and its overshoot. Plot the incumbent's performance over time and mark where it exceeds what mainstream users can absorb, opening room below.
- Overlay the entrant curve and mark the crossing hypothesis. Project the entrant's slope to where it reaches the acceptable line for a segment, and place that crossing point on the chart.
- Pin the assumptions to the crossing. Tag the two or three drivers the crossing depends on, turning the picture into a falsifiable claim rather than a mood.
Tuning parameters¶
- Axis choice — which performance dimension the curves are plotted against. Get it wrong (the incumbent's spec instead of the buyer's job) and the map flatters the incumbent and hides the disruption.
- Segment granularity — one aggregate market or several segment-specific crossings. Finer segments locate the first realistic foothold but multiply the curves to maintain.
- Assumption explicitness — how many of the crossing's dependencies are named on the chart. More named assumptions make it more falsifiable but less tidy.
- Time horizon and scale — how far out the projection runs and how compressed the axis is; long horizons invite optimistic extrapolation of the entrant's slope.
When it helps, and when it misleads¶
Its strength is shared clarity: it converts a vibes-based disruption debate into an explicit, falsifiable geometry, and it exposes the incumbent's overshoot[1] — the room below the curve that makes low-end entry possible in the first place. It is the artifact the rest of the archetype argues over and points back to.
It misleads most when the entrant's curve is extrapolated as a smooth line to a foregone crossing — trajectories flatten, hit physical limits, or stall, and a confidently-drawn projection can manufacture inevitability. Choosing a self-serving axis is the other classic failure: plot on the incumbent's headline spec and the crossing never appears, which is exactly how incumbents reassure themselves to death. Because it is a hypothesis, the map must be redrawn as real slope data arrives — from the tracking instrument, not from the strategist's pen — and its assumptions treated as things to test, not decorations.
How it implements the components¶
incumbent_value_curve_map— the artifact plots the incumbent's performance trajectory and marks where it overshoots mainstream needs, the opening the entrant aims at.value_curve_crossing_hypothesis— it places the projected crossing point on the chart with its assumptions attached, making the disruption thesis explicit and falsifiable.
The map states the crossing as a hypothesis; it does not measure the entrant's realized slope — that is the Entrant Value-Curve Dashboard — nor decide whether the crossing has occurred (Value-Curve Crossing Review), nor define the new axis it plots on (New-Axis Value Canvas).
Related¶
- Instantiates: Disruptive Trajectory Positioning — the map is the shared picture the whole positioning problem is reasoned on.
- Sibling mechanisms: Entrant Value-Curve Dashboard · New-Axis Value Canvas · Value-Curve Crossing Review · Incumbent Response Red Team · Low-End Foothold Pilot · Cannibalization Option Gate · Adoption-Ladder Release Plan · Last-Mile Use-Case Probe · Overserved Segment Research Sprint · Protected Venture Sandbox · Transition Harm Review
Editorial Notes¶
Form Classification¶
Form family: Analysis, Modeling & Optimization
Rationale: The mechanism models incumbent and entrant trajectories on a customer-relevant axis and derives a conditional crossing point at which the entrant becomes good enough.
Nearest alternative: Representation, Specification & Plan — The plotted map is the visible artifact, but the hypothesized trajectory and crossing inference are the operative result rather than a purely descriptive diagram.
Review outcome: Adjudicated after independent review; medium confidence.
Origin Attribution¶
Primary origin: Innovation & Entrepreneurship
Origin pattern: Cross-disciplinary synthesis
Present-day reach: Specialized
Rationale: Disruptive-innovation theory cohered tracking entrant and incumbent trajectories toward a good-enough crossover on customer-valued performance dimensions.
Related originating lineages:
- Organizational & Management Science — Strategy-canvas and value-curve practice supplied the comparative visual mapping artifact.
Review resolution: Both current reviews place disruption_trajectory_map primarily in innovation_entrepreneurship; the reconciled classification retains only lineages that materially shaped the mechanism and keeps breadth of origin separate from reach.
Attribution caveat: The trajectory logic is Christensen-style disruption theory, while the multi-axis chart form also draws on strategy mapping.
Encyclopedia synthesis: The exact catalogued form synthesizes established practice rather than reproducing a single standard historical label.
Review outcome: Reconciled after independent review; high confidence.
References¶
[1] Christensen, C. M. The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail. Harvard Business School Press (1997). Shows how incumbent performance improvement can overshoot customer demand, leaving room for lower-performing disruptive entrants to gain a foothold. registry ↩