Built-in bias means sales managers rarely get the accurate information they need from their teams. Conversion rates and forecasts suffer. So does the chance to build trust and improve performance. Here is how to fix a common sales problem.
To improve funnel conversion ratios, sales managers need an accurate picture of how their team is performing and what the pipeline really looks like. Usually, that is not what they get. As a result, time and money go into no-hope proposals. Real opportunities slip past unnoticed. Forecasts and budgets drift out of reach.
When forecasts and results diverge
Sales managers rely on their teams for information about the market, and specifically for progress on individual deals. That detail feeds straight into the sales forecast and, eventually, the budget cycle. So when the information is inaccurate, the gap between forecast and actual performance keeps widening. It also makes performance improvement almost impossible.
Coaching and advice then fall flat, because they rest on the same flawed data. The sales cycle stays compromised. Better quality information does the opposite. It gives sales managers a sound basis to identify problems accurately and offer advice that lifts performance. Strong forecasting starts with strong inputs, which is why this skill matters to every sales manager building breakthrough team performance.
The unconscious bias in the equation
One of the most common reasons sales information turns out inaccurate is unconscious bias on the part of the people supplying it: the sales team. A familiar pattern unfolds. Optimistic updates early in the year slide into excuses as the months pass.
Every sales manager will recognise the script. “We will be on budget by mid-year. I don’t know why they haven’t placed the order yet.” Or “The deal is in the bag, they have selected us.” Or “The client confirmed we had diagnosed their problem. Then they decided to stick with their old solution.” (Keep these quotes exactly as written — verbatim examples.)
If this sounds familiar, take heart. It is common in sales, largely because the typical sales personality is prone to bias of many kinds. The classic salesperson is energetic and enthusiastic, an incorrigible optimist, often something of an egoist who believes they hold a special connection with clients. Many believe they sit well above average on brains and business acumen. These traits carry real value. They can also tint everything rose-coloured and stop a salesperson from truly hearing what a client is saying. Those preconceptions make objective reporting difficult, and they push people towards convenient conclusions.
The most common biases in sales
Several biases show up again and again:
- Data bias. The first pain point a prospect mentions becomes the highest priority, by default.
- Confirmation bias. Loaded questions are used to draw a specific answer from the prospect.
- Expert bias. The salesperson misses alternative solutions because they are fixed on “previous experience”.
- Commonality bias. Recent patterns are assumed to continue, even when they contradict long-term data.
- Gambler’s bias. A run of bad calls “must” be followed by a run of luck.
Whatever its form, bias produces the same results: wasted time, lost market share, unhappy customers and missed sales. Most damaging of all, it can dent the company’s brand.
The solution: exercising judgement when you decide
Once you accept that the information coming in is probably biased, and that some bias is built into the traditional sales environment, the task becomes clear. The sales manager needs ways to overcome it. The answer is to consciously exercise judgement when making decisions, so bias is first identified and then corrected.
Balancing the bias
Judgement-based decision making is more art than science. Still, it can be defined precisely: the process of drawing sound conclusions, forming opinions or making critical distinctions about people, situations, ideas or events, through assessment, comparison and deliberation.
Putting judgement-based decision making into practice
To apply it methodically, these steps work well:
- Start conscious. Assume the data from your sales teams may be biased.
- Interrogate the source. Consider the track record of the person relaying the information, and where they got it. An impression from a single in-person call is not the same as a direct comment in an email. Ask which questions were never asked.
- Assess the information for the specific biases above, then filter accordingly. One useful technique is to picture the negative implications of the data, because the salesperson will almost always have stressed the positives.
- Assess the team culture and its effect on the data. Once you have weighed the data’s reliability and the individual’s bias, look at the team dynamic. Does it create an echo chamber where a shared bias takes hold? Is there an accepted way of doing things that quietly shapes everyone’s thinking?
Three cultural shifts support this:
− The team must be prompted to acknowledge that better sales decisions result from balanced information about each sales opportunity, obtained from a diverse set of sources.
− At the same time, sales managers must move away from demanding that team members know all the answers. Doing so will acknowledge that truth-seeking does not come easily, and that good decisions need reality to be honestly confronted.
− Finally, at the cultural level, any tendency towards overconfidence (and thus a lack of perceptiveness) should be replaced by humility.
The pay-off: pipelines you can trust
Follow these steps and querying data becomes a habit before it informs any decision. Over time, that habit shapes how the teams themselves assess and use data, and the pipelines they present improve with it.
Sales teams start validating opportunities early in the cycle, screening out unsuitable ones before they drain resources. They stop assuming the cycle will unfold as predicted, and they build contingency plans for the worst case. The result is a sales pipeline that is genuinely realistic and grows more accurate over time. That is a skill well worth acquiring.
Judgement is a capability, and capability can be built. LRMG helps sales leaders strengthen the judgement, behaviour and discipline that turn noisy pipelines into reliable forecasts. Explore our Sales Excellence solutions to see how we build sales capability that improves real business performance, or contact the LRMG team to talk through your sales pipeline and forecasting challenges.
Frequently asked questions about judgement-based decision making in sales
What is judgement-based decision making in sales?
Judgement-based decision making is the process of drawing sound conclusions and forming opinions about people, situations and opportunities through assessment, comparison and deliberation. In a sales context, it means a sales manager consciously weighs the information from their team, tests it for bias, and corrects for that bias before acting on it. It treats sales data as something to interrogate, not something to accept at face value.
Why are sales forecasts so often inaccurate?
Sales forecasts are frequently inaccurate because the information feeding them carries unconscious bias. Sales teams tend towards optimism, and that optimism colours how they report progress on deals. When biased inputs feed the forecast, the gap between predicted and actual performance widens. Coaching based on the same flawed data then fails to close that gap, so the problem repeats cycle after cycle.
What are the most common biases that affect sales information?
Five biases appear most often. Data bias treats the first pain point mentioned as the top priority. Confirmation bias uses loaded questions to get a preferred answer. Expert bias fixes on past experience and misses alternative solutions. Commonality bias assumes recent patterns will continue. Gambler’s bias expects a run of bad calls to be followed by good luck. Each one distorts the picture a sales manager works from.
How can a sales manager reduce bias in their pipeline?
A sales manager can reduce bias by following a deliberate sequence. Start by assuming the data may be biased. Interrogate the source and its reliability. Filter the information for specific biases, including by visualising the negative implications the salesperson likely downplayed. Then assess whether team culture is creating a shared blind spot. Done consistently, this habit spreads to the team and improves the quality of the pipeline they present.
How does judgement-based decision making improve funnel conversion ratios?
It improves conversion ratios by giving sales managers a more accurate view of which opportunities are real. When teams validate opportunities early and screen out weak ones, resources go to deals with genuine potential. Forecasts become more reliable, contingency planning improves, and the pipeline grows more accurate over time. Better inputs lead to better decisions, and better decisions lift conversion.
Where can sales teams build these judgement and decision-making skills?
Sales teams can build these skills through LRMG’s Sales Excellence solutions, which develop the judgement, behaviour and capability that drive measurable sales performance. LRMG works with sales leaders to strengthen pipeline discipline, forecasting accuracy and customer-centric selling across African markets.
