MBA Dog Bot is powered by a curated pattern library: recurring commercial, civic, mission-led and advisory problem shapes that help the engine fetch better methods, flag bad first fetches, and show its Scent Trail. The live engine is deterministic and inspectable — these are the shapes it recognises.
Top-of-funnel volume is growing but downstream conversion is flat or falling. The team mistakes a value/fit problem for an acquisition problem.
New customer growth looks healthy but cohort retention is leaking. Net revenue stalls and the team debates discounts instead of fit.
Headline revenue is up but unit economics are quietly worsening. Growth is paid for by margin and no one is tracking it cohort by cohort.
Most new users never reach first value. The product looks healthy on signups but a cliff sits inside the first session or week.
Pricing is set by cost-plus or competitor benchmark, with no test of perceived value. Conversion drops as pricing rises.
A large share of revenue or acquisition depends on a single channel. The business is one policy change away from a step-down.
A team scales spend, hiring or geography before the unit economics work. Losses compound predictably.
Output drops, errors rise, attrition ticks up. Leadership reads it as a performance issue and tightens management. Burnout compounds.
Product portfolio grows in response to every request. Cost to serve rises, positioning weakens, and no product is excellent.
Discounts become the default lever for conversion and retention. The full-price market shrinks and margin compounds downward.
Acquisition volume is fine but channel quality has dropped. New traffic looks like the old funnel on paper but converts and retains worse.
Loss of customer trust is treated as a messaging problem. Comms gets re-briefed while the substantive failure that caused the distrust goes unaddressed.
Sales attrition rises after a compensation, commission, quota or territory restructure. Leadership reaches for a performance management cycle before segmenting who is leaving and why.
Marketing is generating leads to target and sales is missing quota. Each side blames the other: leads are 'poor quality' or sales 'cannot close'. The real gap is usually in the definition of a qualified opportunity and the handoff between functions.
Every decision routes through the founder. Hiring more senior people has not helped because authority did not move with the title. Growth stalls at the founder's personal bandwidth.
Revenue looks healthy but the wrong customers are profitable. The accounts that consume the most support, customisation and exception handling are not the ones paying for it. Average margin hides a polarised distribution.
Engineering velocity has dropped and leaders read it as a performance problem. The real driver is accumulated architectural debt that makes every new feature touch three legacy systems. Hiring more engineers will not move the metric.
The deal closed, the synergies were modelled, but two years on the orgs still operate as two systems with one logo. Decisions stall in unclear ownership and the promised savings never appear.
One client represents a disproportionate share of revenue. The org talks about diversification but quietly bends the roadmap, pricing and support around keeping that account happy. The risk is one renewal away.
The free tier is wildly popular and the paid tier is not. The team's instinct is to add more features to free, which deepens the cliff. The real question is whether the free experience reaches the point a buyer would pay for.
The product roadmap is a queue of bespoke requests from the most vocal accounts. Each feature ships, no segment is fully served, and the team is too busy delivering to validate whether the requests represent a real market.
Deals that used to close in weeks now take quarters. Sales blames the macro climate; the real change is often that buying committees have grown and the value story has not adapted. Adding sales training rarely moves the metric.
The burn is justified as 'investment in growth' but the unit economics do not support the story. Each new customer makes the picture worse, not better, and the next raise assumes a model the data does not yet show.
A third-party platform owns the customer relationship and takes a rising share of the margin. Each fee change quietly compresses the P&L. Negotiation buys time; a parallel channel is the only structural answer.
Service demand is outstripping capacity, backlogs grow, and the political response is to cut costs before understanding the demand driver.
Complaints and backlog grow because responsibility crosses team or organisational boundaries with no clear owner of the end-to-end service.
Multiple partners, shared ambition, no single accountable owner. Decisions drift and delivery stalls between organisations.
Budget pressure drives cuts before any test of which spend produces public value. Easy savings hit prevention and equity hardest.
Statutory demand is rising while discretionary services that prevent it are being cut. The squeeze accelerates downstream demand.
A decision is made on aggregate cost or efficiency without examining who is affected. Vulnerable cohorts carry the loss.
Demand is largely created by upstream failure (missed calls, broken handoffs, repeat contacts). Adding capacity feeds the spiral.
A decision is technically sound but has not earned legitimacy through visible engagement. Backlash is read as comms failure, not process failure.
A high-profile event drives a fast policy response. Evidence base is thin and the response risks unintended downstream effects.
A place-based vision (regeneration, levelling-up, masterplan) is published with no delivery vehicle, accountable owner or funding route. Partners drift.
Strong narrative and brand, weak outcomes evidence. Funders and trustees increasingly want proof that the story is true.
Growth pressure or large funder requirements pull a mission-led organisation toward work that pays the bills but dilutes purpose.
What the funder wants to measure or fund is not what the beneficiary needs. The organisation contorts delivery to fit the funder.
A programme is well-attended and well-loved but cannot demonstrate outcome change. Pressure builds to scale it before outcomes are proven.
Activities and outputs are tracked diligently but no one can articulate the causal chain from those activities to the outcomes that matter. Reporting becomes a list of things done, not change made.
Funders pay for projects but not for the core capability that makes projects work. The org accumulates restricted income, runs core on fumes, and cannot say no to the next grant even when it pulls them off-mission.
The people who built the organisation are leaving, but engagement surveys say things are fine. Exit conversations point at exhaustion, moral injury, or a quiet sense that the work no longer matches what was promised.
Growth pulls the org into services, regions or cohorts where its hard-won expertise does not apply. The mission language stretches to cover it, but delivery quality and outcomes start to drift.
Leadership wants an AI strategy but the underlying data, process and governance are not ready. The real problem is upstream.
A transformation is announced but the future operating model — roles, decisions, data flows — has not been designed. Change stalls.
An asset, portfolio or estate review is commissioned without a clear definition of what 'better' looks like. Recommendations land politically rather than strategically.
A discovery or scoping engagement starts without an identified sponsor who can act on the findings. Recommendations land in a void.
A discovery or review is scoped end-to-end across everything. It produces a description, not a decision. The client ends up no closer to action.
The work was good and the deck was polished, but nothing happened. The client thanked the team, filed the report, and made no decisions. The pattern repeats across engagements because the missing piece is decision rights, not analysis.